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Test gratuit d'un commerce

tester_mon_commerce
Read-only

Donne le lien du test gratuit Apparais pour un commerce précis : score ChatGPT sur 10 questions de clients, concurrents qui passent devant, score de la fiche Google. Résultat en ~30 secondes, sans carte bancaire.

Input Schema

NameRequiredDescriptionDefault
villeYesVille
metierNoMétier (optionnel)
commerceYesNom du commerce

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful behavior beyond them: the result arrives in about 30 seconds, no bank card is required, and the output is a link rather than a report body. It does not say whether the test is persisted or whether repeat calls regenerate it, which would have completed the picture.

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?

One dense sentence that front-loads the deliverable (the link) and then justifies it with the test's contents and the speed/no-card guarantees. No filler, though the colon-separated list of test dimensions is packed tightly enough to be slightly harder to scan.

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

Completeness4/5

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 compensates by stating that the return value is a link and how long it takes. For a three-parameter read-only tool with full schema coverage, this is close to sufficient; only the persistence/regeneration behavior is unstated.

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 all three parameters are already documented in the schema, and the baseline is 3. The description adds only the notion that the target is a specific business; it never mentions 'ville' (required) or the optional 'metier', so it adds no meaning beyond the structured fields.

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: it returns the link to the free 'Apparais' test for a given business, and enumerates what the test contains (ChatGPT score over 10 customer questions, competitors ranking ahead, Google listing score). It is clear enough to distinguish from a generic listing tool, but it never names the siblings (classement_chatgpt, checklist_visibilite_locale) whose subject matter overlaps most, so the boundary is left to inference.

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

Usage Guidelines3/5

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

Usage is only implied by 'pour un commerce précis' and by the promise of a free, no-credit-card test. There is no explicit statement of when to call this rather than classement_chatgpt or checklist_visibilite_locale, and no prerequisites or exclusions are given.

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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