Skip to main content
Glama
datagouv

datagouv-mcp

by datagouv

Get third-party API info

get_dataservice_info
Read-onlyIdempotent

Retrieve detailed metadata about a third-party API (dataservice) including title, description, organization, base URL, and OpenAPI spec link. Essential for understanding and using the API.

Instructions

Get detailed metadata about a specific third-party API (dataservice).

Returns title, description, organization, base_api_url, machine_documentation_url (OpenAPI/Swagger spec), license, and dates.

To use a third-party API: (1) get its info here, (2) fetch the OpenAPI spec via get_dataservice_openapi_spec, (3) call base_api_url per spec.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataservice_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate read-only, non-destructive, idempotent behavior. The description adds context about the returned data structure and workflow role, which is consistent and provides additional value beyond annotations.

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 concise with four sentences: first states purpose, second lists return fields, third and fourth give usage workflow. Information is front-loaded and every sentence serves a purpose.

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 simple parameter, annotations providing safety guarantees, and the existence of an output schema, the description is complete. It covers the tool's purpose, return data, and usage in a broader workflow.

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%, and the description does not explain the 'dataservice_id' parameter beyond its name. While the parameter is simple, the description adds no semantic meaning or format guidance.

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 retrieves detailed metadata about a specific third-party API (dataservice) and lists the returned fields. It distinguishes from sibling tools by being the first step in a workflow.

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?

The description explicitly provides a three-step workflow: first get dataservice info, then fetch OpenAPI spec via get_dataservice_openapi_spec, then call base_api_url. This clearly indicates when to use this tool and the subsequent steps.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/datagouv/datagouv-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server