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com.workers-rights/employment-law
serveur MCP (Model Context Protocol) · workers-rights 1.0.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que com.workers-rights/employment-law est sûr ?
Au dernier audit MCP Hub, le serveur MCP « com.workers-rights/employment-law » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 9 outils
- explain_my_rights≈ 462 tokens
Explain which federal (and state, if a state is given) employment laws may protect a worker based on the type of issue (e.g. discrimination, harassment, retaliation, wrongful termination) and/or the protected class involved (e.g. race, sex, age, disability, pregnancy). Returns the relevant statutes with citations, who they cover (employer-size thresholds), filing deadlines and agencies, and available remedies. Use this to ground an answer about a worker’s legal protections. Deadline guidance covers private-sector and state/local government workers; federal employees follow a separate process with a much shorter deadline (45 days to contact their agency's EEO counselor). Educational information, not legal advice.
Paramètres, retour & exemple (4)
Paramètresissue· string · optionnel
Type of workplace issue, e.g. "discrimination", "harassment", "retaliation", "wrongful termination", "unpaid wages", "disability accommodation".state· string · optionnel
US state (2-letter code or full name) to include state-specific protections and the correct EEOC filing deadline.employer_sector· string · optionnel · private | government | federal_government
Whether the employer is private, state/local government, or a federal agency.protected_class· string · optionnel
Protected characteristic involved, e.g. "race", "sex", "age", "disability", "religion", "national origin", "pregnancy".
Exemple d'appel{"name": "explain_my_rights", "arguments": {"issue": "texte", "state": "texte", "employer_sector": "private", "protected_class": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - find_employment_attorney≈ 667 tokens
Find public-source employment-law attorney listings near a US location. Returns source-attributed identity, firm, location, and contact data sorted by proximity. Person-specific filters and fields apply only where the underlying directory supports them; Google Places metrics are labeled as firm/office listing data, never individual ratings. Listings are not state-bar verification or an endorsement.
Paramètres, retour & exemple (10)
Paramètreslat· number · optionnel
Optional precise latitude. Overrides city/state when paired with lng.lng· number · optionnel
Optional precise longitude. Overrides city/state when paired with lat.city· string · optionnel
Optional city to tighten the search center (e.g. "Tampa").limit· integer · optionnel
Max attorneys to return (1–25).state· string · optionnel
US state — 2-letter code or full name (e.g. "FL" or "Florida"). Required unless lat/lng given.language· string · optionnel
Filter on attorney-supplied language data. Most listings are public office records that do not publish it; when none in range do, the tool returns total 0 with unsupported_filters rather than silently implying no attorneys are nearby.min_rating· number · optionnel
Minimum individual-profile rating. Office/business ratings are never treated as an attorney rating, so this matches only hand-managed profiles and returns nothing where none exist.radius_miles· integer · optionnel
Search radius. Defaults to 100mi for broad statewide coverage.contingency_fee· boolean · optionnel
Filter on attorney-supplied fee data. Most listings are public office records that do not publish it; when none in range do, the tool returns total 0 with unsupported_filters rather than implying no attorneys are nearby.free_consultation· boolean · optionnel
Filter on attorney-supplied fee data. Most listings are public office records that do not publish it; when none in range do, the tool returns total 0 with unsupported_filters rather than implying no attorneys are nearby.
Exemple d'appel{"name": "find_employment_attorney", "arguments": {"lat": 1, "lng": 1, "city": "texte", "limit": 1, "state": "texte", "language": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - find_similar_cases≈ 837 tokens
Given the facts of an employment situation — claim types, protected class, employer, state — analyze how similar real cases in the corpus were decided. Returns the aggregate plaintiff (employee) win rate, settlement rate, typical damages range, the topics courts discussed most in opinions employees won vs. lost, and a few representative example cases. Counts are returned at three levels (nationwide, the federal courts of the state's region, and the state) with a detailed breakdown for one level: who won, award amounts, what happened at each stage, and topics. Relay which level a figure describes. A level with few opinions returns counts without a win rate. Each example says what happened and why it matched. Topic rows record what opinions discussed, not what courts found. Educational statistics from published opinions: never present a historical percentage as this person’s probability of winning. Not a prediction or legal advice. In structured stages: won and wonPct count opinions the worker won in whole or in part (wonPct leaves rulings sent back out of its base), and sentBack counts rulings sent back to a lower court. wentForward and wentForwardPct include rulings sent back to a lower court and are kept for compatibility.
Paramètres, retour & exemple (8)
Paramètreslevel· string · optionnel · national | circuit | state
Which level the detailed breakdown and examples describe: "national" (default), "circuit" (federal courts of the state's region), or "state". All three levels' counts are returned either way.state· string · optionnel
Two-letter US state code the situation arose in, e.g. "FL", "CA".law_ids· array · optionnel
Related law ids, federal or state, e.g. ["title-vii","adea","ada","fmla","flsa","fl-fcra","ca-feha"].industry· string · optionnel
Employer industry, e.g. "healthcare", "retail", "transportation".claim_types· array · optionnel
Claim types alleged, snake_case, e.g. ["retaliation","wrongful_termination","discrimination","harassment"]. The single highest-value signal.employer_name· string · optionnel
Employer / defendant name, e.g. "Union Pacific Railroad". Used for a fuzzy match.narrow_to_laws· boolean · optionnel
Only count opinions that mention one of law_ids (a federal law or its state analogue). Default false: every opinion sharing the claim type, under any law.protected_classes· array · optionnel
Protected classes at issue, e.g. ["sex","race","age","disability","pregnancy","national_origin"].
Exemple d'appel{"name": "find_similar_cases", "arguments": {"level": "national", "state": "texte", "law_ids": [], "industry": "texte", "claim_types": [], "employer_name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_attorney_track_record≈ 321 tokens
Given an employment attorney name (or profile slug), return the federal employment-law cases on file in which that attorney appeared — case caption, court, year, nature-of-suit, and the side they appeared for when on record. Use this when a user names an attorney and wants their public litigation history. Facts only, sourced from federal court dockets. Attorney identities are algorithmically matched; ambiguous and lower-confidence matches are excluded. One case is one normalized court+docket number, so duplicate source rows do not inflate the count.
Paramètres, retour & exemple (2)
Paramètreslimit· integer · optionnel
Number of example cases to return (1–25). Counts reflect all cases on file, not just these.attorney· string · requis
Employment attorney full name (e.g. "Jane Doe") or their workers-rights.com profile slug.
Exemple d'appel{"name": "get_attorney_track_record", "arguments": {"attorney": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_corpus_stats≈ 184 tokens
Return live statistics about the Workers' Rights corpus: total number of collected court records in the research corpus, number of public attorney listings, number of monitored legal data sources, the date the corpus was last updated, and the distribution of reportable outcomes before the employment browse filter. Use this to establish scale/credibility or to answer 'how much data do you have / how current is it'.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_corpus_stats", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_eeoc_process≈ 297 tokens
Plain-English guide to the 9 stages of an EEOC discrimination/retaliation charge, from pre-filing through resolution. Call with no arguments for an overview of all stages with typical durations; call with a stage number (1-9) for a deep-dive on that stage: what to expect, how long it takes, the key tip, and do/don't guidance. Use this whenever someone asks what happens after filing with the EEOC, how long the process takes, what a position statement or rebuttal is, or what to do at the stage they are currently in. Covers private-sector and state/local government workers; federal employees follow a separate EEO process with a much shorter deadline (45 days to contact their agency's EEO counselor).
Paramètres, retour & exemple (1)
Paramètresstage· integer · optionnel
Stage number 1-9 for a deep-dive on one stage. Omit for an overview of all nine stages.
Exemple d'appel{"name": "get_eeoc_process", "arguments": {"stage": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_employer_track_record≈ 312 tokens
Given an employer/company name, return distinct federal cases and trusted published opinions that involve that employer, the breakdown of outcomes (employee wins, employer wins, settlements, dismissals), the most notable recent opinions, AND the count of federal docket records on file (cases that may not have a written opinion). Use this when a user names their employer and wants that company's litigation history + footprint.
Paramètres, retour & exemple (2)
Paramètreslimit· integer · optionnel
Number of example published opinions to return (1–25). The total count and outcome breakdown reflect the full corpus, not just these examples.employer· string · requis
Employer/company name to look up, e.g. "Walmart", "Acme Corporation". Common suffixes like Inc/Corp/LLC are ignored when matching.
Exemple d'appel{"name": "get_employer_track_record", "arguments": {"employer": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_evidence_preservation_checklist≈ 340 tokens
Concrete checklist for a worker who senses termination coming or is in a deteriorating work situation: what to write down, which records are already theirs to gather (pay records, documents they were given), and how to list everything else so an attorney can ask the employer to preserve it. It does not advise copying or forwarding material from an employer’s systems. Use this whenever someone says they think they are about to be fired, fears retaliation is escalating, mentions a PIP or sudden access changes, or asks what to do before reporting discrimination. Sections: 'today' (highest-leverage, minutes matter), 'this-week', 'quiet' (low-priority prep). Time-sensitive — employers often revoke system access during the termination call itself.
Paramètres, retour & exemple (1)
Paramètresgroup· string · optionnel · today | this-week | quiet
Checklist section for a focused list: 'today' (highest-leverage, do first), 'this-week', or 'quiet' (lower-priority quiet prep). Omit for the full checklist.
Exemple d'appel{"name": "get_evidence_preservation_checklist", "arguments": {"group": "today"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - search_rulings≈ 582 tokens
Search published employment-law rulings from our research corpus by keyword, law, court, federal circuit, state, outcome, and date. Returns published opinions with citations, outcomes, procedural stage, employers, claim types, recorded monetary amounts, and links to the full opinion. Use this to ground any claim about how employment cases have been decided. Results are quality-filtered (low-confidence and junk rows excluded).
Paramètres, retour & exemple (9)
Paramètreslaw· string · optionnel
Filter by a related law id, e.g. "title-vii", "adea", "ada", "fmla", "flsa".court· string · optionnel
Filter by CourtListener court id, e.g. "scotus", "ca11" (11th Circuit).limit· integer · optionnel
Max rulings to return (1–25).query· string · optionnel
Free-text search across case name and opinion snippet (e.g. "pregnancy discrimination retaliation").state· string · optionnel
Two-letter US state code the case was filed in, e.g. "FL", "CA".circuit· string · optionnel
Filter to a federal appeals circuit (the appeals court plus its district courts). Preferred values: first-circuit, second-circuit, third-circuit, fourth-circuit, fifth-circuit, sixth-circuit, seventh-circuit, eighth-circuit, ninth-circuit, tenth-circuit, eleventh-circuit, dc-circuit, federal-circuit. Display forms like "Eleventh Circuit" or "11th" are also accepted.date_to· string · optionnel
Latest filing date (YYYY-MM-DD).outcome· string · optionnel · plaintiff_win | defendant_win | settlement | dismissed | mixed | remanded
Filter to a specific case outcome.date_from· string · optionnel
Earliest filing date (YYYY-MM-DD).
Exemple d'appel{"name": "search_rulings", "arguments": {"law": "texte", "court": "texte", "limit": 1, "query": "texte", "state": "texte", "circuit": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
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