Skip to main content
Glama

HelpMyAgent

French Company Financials

company_fr_financials

Returns available public financial data for a French company from a SIREN or SIRET, including revenue and net income when available. Use when: You need publicly available revenue or net-income figures for a French company. You need a normalized multi-year financial history with simple revenue-growth and net-margin calculations when data is available. Avoid when: You need real-time management accounts, bank data, a company valuation or a credit score. You only need administrative identity or status; use company/fr/profile or company/fr/verify. Limitations: Financial years are returned only when the public company source exposes filed financial data. Missing or confidential accounts can produce incomplete histories; this service is not a credit assessment or audit opinion. Price: 0.010 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
summaryYes
financialsYes
identifierYes
identifier_typeYes

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

The description discloses source-dependent availability, incomplete histories when accounts are missing or confidential, and explicitly disclaims being a credit assessment or audit opinion. These caveats add real behavioral context beyond the annotations. It does not contradict the annotations; readOnlyHint=false is not inconsistent with the described data-returning behavior.

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 uses clear labeled sections—summary, use when, avoid when, limitations, price—which front-load the core action and make caveats easy to scan. The writing is efficient, and any repetition of 'available' or 'public' is minor and does not reduce clarity.

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?

For a one-parameter financial lookup with an output schema present, the description covers what is returned, when to use it, when not to use it, data limitations, and cost. An agent has enough context to decide whether to call this tool and what to expect from the response.

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 single identifier parameter is already fully documented in the schema with a regex and the explanation '9-digit SIREN or 14-digit SIRET'. The description reinforces this by saying the tool works from a SIREN or SIRET, but adds no new format or syntax details. With 100% schema description coverage, 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?

The description opens with a specific verb and object: it returns available public financial data for a French company from a SIREN or SIRET, and explicitly names revenue and net income. It clearly distinguishes this tool from sibling tools like profile and verify by stating what it does and does not provide. This goes well beyond merely restating the title.

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?

Explicit 'Use when' and 'Avoid when' sections give concrete decision criteria, including normalized multi-year financial history and simple revenue-growth/net-margin calculations. It names sibling tools company/fr/profile and company/fr/verify as the right alternatives for administrative identity or status. This is exemplary routing guidance.

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