Skip to main content
Glama

HelpMyAgent

French Company Profile

company_fr_profile

Returns the public profile of a French company from a SIREN or SIRET. Use when: You need a normalized public administrative profile for a French company from its SIREN or SIRET. You need headquarters, activity, legal-form, creation-date, employee-band or establishment-count fields in one response. Avoid when: You only need a yes/no existence or active-status check; use company/fr/verify. You need directors, financial statements, legal risk or compliance results; use the dedicated endpoint. Limitations: Some profile fields can be null when the public source does not expose them for the company. This endpoint does not replace the specialized directors, financials, risk or compliance endpoints. Price: 0.005 USD per call via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifierYes9-digit SIREN or 14-digit SIRET

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
sirenYes
existsYes
statusYes
identifierYes
is_employerYes
closure_dateYes
headquartersYes
activity_codeYes
creation_dateYes
identifier_typeYes
legal_form_codeYes
company_categoryYes
employee_band_codeYes
employee_band_yearYes
establishments_countYes
open_establishments_countYes

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Adds meaningful behavioral limitations beyond annotations: profile fields can be null when the public source does not expose them, and the endpoint does not replace specialized endpoints. It also discloses pricing. While readOnlyHint is false, the description does not affirm mutation, so there is no contradiction; it could have been more explicit about auth/rate limits, but it adds substantive context.

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

Conciseness5/5

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

The description is organized into short labeled sections: 'Use when', 'Avoid when', 'Limitations', and 'Price'. Each segment contributes clear selection or invocation information with no filler.

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?

For a one-parameter tool with an output schema, the description covers when to use, when to avoid, the identifier type, nullability limitations, and cost. It does not spell out authentication or error behavior, but the explicit routing and limitations make it sufficiently complete for correct selection and invocation.

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?

The input schema already covers the single parameter with a description and regular expression ('9-digit SIREN or 14-digit SIRET'), and the description repeats 'SIREN or SIRET' without adding additional format details beyond the schema. Since schema coverage is 100%, the baseline of 3 is appropriate.

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

Purpose5/5

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

States the exact operation ('Returns the public profile of a French company') and the input key ('SIREN or SIRET'), then enumerates the contained fields (headquarters, activity, legal-form, creation-date, employee-band, establishment-count). This clearly distinguishes it from search, verify, financials, and other sibling tools.

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

Usage Guidelines5/5

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

Contains explicit 'Use when' and 'Avoid when' guidance, routing the agent to company/fr/verify for existence checks and to dedicated endpoints for directors, financials, risk, and compliance. This is exactly the alternative routing an agent needs to select the right tool.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources