Skip to main content
Glama

HelpMyAgent

Nearby French companies

company_fr_nearby

Searches French companies around geographic coordinates using the official public company search geolocation endpoint. Use when: Searches French companies around geographic coordinates using the official public company search geolocation endpoint. 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: 0.010 USD per call via x402. Accepted x402 networks: eip155:8453, xrpl:0.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
latitudeYes
longitudeYes
radius_kmNo
activity_codeNo
activity_sectionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
latitudeYes
companiesYes
longitudeYes
radius_kmYes
truncatedYes
total_countYes
activity_codeYes
returned_countYes
activity_sectionYes

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 already carry readOnlyHint=false and idempotentHint=false, so the description does not need to restate those. It adds a useful limitation about coverage depending on public sources, plus pricing and accepted x402 networks. However, it does not explain why the tool is not flagged read-only or whether the underlying endpoint has any side effects or rate limits, leaving some behavior opaque.

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

Conciseness2/5

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

The first sentence is duplicated verbatim in the 'Use when' section, which wastes a line without adding information. The remaining sections (limitations, price, networks) are short and to the point, but the redundant repetition and boilerplate disclaimer undermine conciseness.

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

Completeness2/5

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

For a 6-parameter tool with zero schema descriptions, the description is incomplete. It covers what the tool does and some operational details, but not the meaning or intended use of the optional parameters, nor any guidance on when to prefer it over siblings. The presence of an output schema helps, but the missing parameter semantics and usage context leave the definition insufficient.

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%, so the 6 parameters have no inline documentation. The description only implies that latitude and longitude are the primary inputs via 'around geographic coordinates'; it says nothing about radius_km, limit, activity_code, or activity_section. This is a significant gap for a tool with multiple optional filters.

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 states a specific verb ('searches'), a resource ('French companies'), and a distinctive scope ('around geographic coordinates using the official public company search geolocation endpoint'). This clearly separates it from the many sibling company_fr tools like profile or search, even without inspecting schemas.

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 description verbatim and offers no decision guidance. The 'Avoid when' section is a generic legal disclaimer about credit/fraud decisions, not a comparison against alternatives. No sibling tools or conditions are mentioned, so an agent gets little help choosing this tool over company_fr_search or company_fr_prospecting.

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