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French Company Compliance Checks

company_fr_compliance

Checks a French company against multiple public alert and sanctions sources. No match must be interpreted as a guarantee of compliance. Use when: You need to check a French company against the supported public AMF alert and national asset-freeze sources. You need a transparent list of checks, matches, source availability and confidence for inferred matches. Avoid when: You need a complete AML/KYC decision, beneficial-owner screening or a legal guarantee of compliance. You need company insolvency or deregistration risk rather than sanctions/alert screening; use company/fr/risk. Limitations: NO_PUBLIC_ALERT_FOUND means only that no match was found in the checked public sources; it is not a compliance guarantee. Matches without a shared administrative identifier can be inferred and are explicitly marked with confidence; an input domain is checked as a separate subject. Price: 0.020 USD per call via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainNoOptional domain to check separately; it is not considered officially associated with the company
identifierYes9-digit SIREN or 14-digit SIRET

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
sirenYes
checksYes
domainYes
existsYes
statusYes
matchesYes
checked_atYes
identifierYes
limitationsYes
company_statusYes
identifier_typeYes

Schema Changelog

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

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

The description goes well beyond what the sparse annotations provide: it warns that NO_PUBLIC_ALERT_FOUND is not a compliance guarantee, explains that inferred matches are explicitly marked with confidence, and notes that a domain is checked as a separate subject. It also discloses the cost per call, which is relevant behavioral context.

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?

The description is well-structured with clear sections and front-loaded purpose. There is minor redundancy between 'No match must be interpreted as a guarantee of compliance' and the later NO_PUBLIC_ALERT_FOUND limitation, but the overall length is justified by the complexity and usage guidance.

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?

Given the output schema exists, the description does not need to explain return values. It covers purpose, when to use, when to avoid, alternative tools, limitations, and pricing. This is complete enough for an agent to confidently select and invoke the tool.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds meaningful clarification for the optional domain parameter by explaining that it is checked separately and is not considered officially associated with the company. The identifier parameter is sufficiently described by the schema's pattern and description.

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 clearly states the tool 'Checks a French company against multiple public alert and sanctions sources,' identifying both the resource and the specific compliance purpose. It also distinguishes itself from sibling tools by explicitly contrasting with company/fr/risk for insolvency or deregistration risk.

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?

Provides explicit 'Use when' and 'Avoid when' sections with concrete conditions, including the specific alternative company/fr/risk. It also clarifies unsupported use cases like full AML/KYC decisions and beneficial-owner screening, leaving no ambiguity about when the tool is appropriate.

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.

Resources