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bodacc_annonces

Search the official French BODACC registry (DILA) for company legal announcements: incorporations, modifications, radiations and insolvencies — coverage France, by name, SIREN or RCS. Price: $0.01 per call (x402 payment, USDC on Base mainnet). BODACC company legal announcements monitor (France, official DILA source): incorporations, modifications, radiations and insolvency proceedings for a company. Returns announcement type, family, date, court (tribunal), registre/SIREN and link. For credit-risk, supplier-risk, KYB and AML agents. Input: company name, SIREN or RCS.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesCompany name, SIREN or RCS, e.g. 'OVH' or '424761419'
limitNoMax announcements [1-100], e.g. 10
familleNoOptional filter: creation | modification | radiation | depot | collective

TDQS

A4/5.0
Behavior4/5

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

No annotations exist, so the description carries full burden. It discloses return fields (type, family, date, court, SIREN, link), price ($0.01 per call), payment method (USDC on Base mainnet), and source (official DILA). No contradictions or missing critical behavior.

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 description is somewhat verbose, mixing pricing, use cases, and return details. While all information is relevant, it could be more structured with bullet points or shorter sentences for easier parsing.

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?

Given no output schema, the description adequately covers return values and input parameters. It also provides pricing, use cases, and source credibility. Missing rate limits or error handling, but not critical for a paid API.

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%, and the description adds value beyond the schema: provides input examples (e.g., 'OVH'), clarifies limit range (1-100), and lists filter options (creation, modification, etc.). Enhances usability.

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 it searches the French BODACC registry for legal announcements, specifying types (incorporations, modifications, radiations, insolvencies), coverage (France, by name/SIREN/RCS), and use cases (credit-risk, KYB). This distinguishes it from siblings like fr_sirene_lookup and fr_legifrance_search.

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?

Provides input examples and mentions use cases (credit-risk, KYB, AML), but does not explicitly state when to use this tool vs. alternatives or when not to use it. No direct comparison with sibling tools.

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

A3.5/5.0
Disambiguation4/5

Most tools have distinct purposes with detailed descriptions. However, there are clusters of similar tools (e.g., multiple token safety and pre-trade verdict tools for different chains) that could cause confusion, though descriptions help differentiate.

Naming Consistency5/5

All tool names follow a consistent pattern of lowercase snake_case with descriptive prefixes (e.g., agent_, crypto_, x402_). No mixing of conventions or ambiguous names.

Tool Count2/5

52 tools is excessive for a single server, covering a wide range of unrelated domains (crypto, legal, climate, transport, etc.). This overwhelms an agent and suggests a lack of focus.

Completeness2/5

The server lacks a coherent domain; it offers one-off tools across many areas but misses fundamental operations for any specific domain (e.g., no company registry for US, no order placement for crypto). Significant gaps exist.

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