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Vérifier qu’un avocat est inscrit / Verify a lawyer

verifier_avocat
Read-onlyIdempotent

Vérifie si un avocat (nom, prénom, ville ou barreau) figure dans l’annuaire national des avocats (données du Conseil national des barreaux agrégées par DIKOO) et s’il est inscrit sur DIKOO, avec le lien de sa fiche. Checks whether a lawyer (last name, first name, city or bar) appears in the French national directory (CNB data aggregated by DIKOO) and whether they are registered on DIKOO, with the profile link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nomYesNom de famille de l’avocat. Lawyer last name.
villeNoVille d’exercice. City.
prenomNoPrénom (recommandé). First name.
barreauNoBarreau (ex. « Paris », « Lyon »). Bar association.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds meaningful behavior beyond that: the authoritative data source, that the answer is a registration check, and that a profile link is returned. It does not discuss ambiguity handling (e.g. homonyms, empty results), which keeps it from a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core action and scoped constraints in one compact sentence per language. The French/English duplication doubles the length in the raw string but is deliberate bilingual support rather than padding; there is no wasted clause.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description correctly carries the return-value burden by stating both result facets (directory presence and DIKOO registration) plus the profile link. Combined with annotations covering the safety profile, an agent has everything needed to call this correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all four parameters including the 'prenom recommended' hint. The description restates the selectable criteria ('nom, prénom, ville ou barreau') and their disjunctive nature but adds no new syntax, matching or precedence rules, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: verify whether a lawyer (by last name, first name, city or bar) appears in the national directory and is registered on DIKOO, returning the profile link. It also names the data provenance (CNB data aggregated by DIKOO), which sharpens the scope. It never explicitly contrasts itself with the close sibling rechercher_avocats, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance and no mention of the alternative (rechercher_avocats for discovery, fiche_avocat for details). An agent can infer this is an existence/eligibility check rather than a search, but the description leaves the routing decision entirely to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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