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HelpMyAgent

Comparable French companies

company_fr_peers

Finds administratively comparable French companies for later comparison or benchmarking. Use when: Finds administratively comparable French companies for later comparison or benchmarking. Avoid when: Do not use this endpoint as a legal, regulated credit or guaranteed fraud-free decision unless explicitly stated otherwise. Limitations: Coverage depends on the public sources listed for this endpoint. Price: 0.020 USD per call via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
scopeNoregion
identifierYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
peersYes
scopeYes
sirenYes
existsYes
criteriaYes
identifierYes
limitationsYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

C2.9/5.0
Behavior3/5

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

Annotations are sparse and mostly negative (readOnlyHint=false, idempotentHint=false), so the description carries some burden. It adds useful operational context with 'Coverage depends on the public sources listed for this endpoint' and the per-call price. It does not elaborate on the implications of the non-read-only/non-idempotent hints, but it does not contradict them.

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

Conciseness3/5

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

The core description is one clear sentence followed by useful limitation and pricing notes. However, the 'Use when' line is an exact duplicate of the first sentence, wasting space in a definition that should stay tight.

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

Completeness3/5

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

The presence of an output schema and a self-describing identifier/scope/limit schema make this a fairly simple tool, and the description covers cost and coverage caveats. It is not fully complete, though: an agent navigating the large sibling list still lacks guidance for choosing this over company_fr_competitors, company_fr_compare, or company_fr_benchmark, and 'administratively comparable' is left undefined.

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

Parameters2/5

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

Schema description coverage is 0%, and the description gives no parameter-specific guidance for identifier, limit, or scope. It only implies that the identifier refers to a French company; it does not explain the SIREN/SIRET pattern, the meaning of scope values, or the acceptable limit range beyond what the schema already encodes.

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?

States a concrete action and target: 'Finds administratively comparable French companies for later comparison or benchmarking.' The verb and resource are clear. It does not explicitly distinguish this from sibling tools such as company_fr_compare or company_fr_competitors, so it misses the top score.

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?

The 'Use when' section merely repeats the first sentence verbatim rather than adding selection criteria. The 'Avoid when' section is a legal disclaimer rather than a comparative usage guideline, and no sibling alternatives are mentioned.

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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TDQS

B3.3/5.0
Disambiguation3/5

Most endpoints target distinct resources, but several clusters are easy to confuse: company_fr_intelligence vs company_fr_kyb, company_fr_peers vs company_fr_competitors vs company_fr_public_contract_competitors, and company_fr_risk vs company_fr_default_score vs company_fr_payment_context. The descriptive names help, but the repetitive 'Use when' sections often restate the description rather than contrasting with nearby tools.

Naming Consistency4/5

The dominant convention is domain_fr_feature with consistent snake_case, e.g., company_fr_profile, company_fr_financials, company_fr_public_contracts, procurement_fr_search, which makes the family predictable. The three meta tools (describe_api, list_categories, search_apis) switch to a bare verb_noun style, and a few company_fr names use verbs while most use nouns, creating a minor inconsistency.

Tool Count2/5

With 30 tools, the surface exceeds the 25+ threshold and feels heavy for an agent to navigate, especially because aggregators like company_fr_intelligence and company_fr_kyb overlap with many single-purpose endpoints. The broad French-company data domain justifies a large number of endpoints, but several could be consolidated or split out to make the server more focused.

Completeness4/5

The set covers discovery, verification, profile, directors, financials, legal risk, compliance, public contracts, procurement, funding, benchmarking, signals, and aggregation, so core French-company workflows have no major dead ends. Minor gaps remain around beneficial-ownership/shareholder data and subscription-style monitoring, but those are explicitly outside the stated scope of most endpoints.

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