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http_doc

Fetches the documentation of the API configured for your org (http connector), if its operator filled in a doc_path route on the HTTP card (e.g. an OpenAPI contract in JSON). No parameter: the route comes from the config, never from the caller. Actionable error if doc_path is not set.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "http_doc"
  }
}

Input Schema

NameRequiredDescriptionDefault
_orgNoOrg (id) de CET APPEL. `oto_list_orgs()`.
_groupNoÉquipe (id) de CET APPEL, sous son org parente.
_run_idNoOBLIGATOIRE à chaque appel dès `run_start` ou `data_claim_next` : sans lui, l'écriture sur une ligne réservée est refusée. Hérité seulement si le serveur tient un run actif — n'y compte pas.
_accountNoCompte à OPÉRER parmi : `Cal.com` (org), `Qonto` (org). `oto_identity(op='list')`.
_projectNoProjet (id) de CET APPEL — jeton PRIMAIRE. `oto_project(op='list')`.
_instanceNoInstance de connecteur PRÉCISE (un credential exact). `oto_instance(op='list')`.

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does real work: it discloses that the route is fixed by org config and never caller-supplied, and that a missing `doc_path` yields an actionable error rather than a silent failure. It omits the return shape (raw JSON vs text) and any latency/size caveats for large OpenAPI contracts.

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?

Three short sentences, front-loaded with the core action, followed by the config constraint and the failure mode. Nothing is redundant.

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?

For a zero-argument fetch tool with no output schema, it covers source, precondition, and error behavior. The only material gap is what the payload looks like, which matters for a large OpenAPI document.

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 all six parameters are boilerplate context fields, so baseline would be 3; the description earns an extra point by explicitly explaining that the route parameter an agent would expect is absent by design, pre-empting a wrong-argument attempt.

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?

Names a specific verb and resource ('Fetches the documentation of the API configured for your org') and ties it to a concrete connector ('http'), so an agent can separate it from http_get/http_post/http_act without opening a schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

States the precondition for use (operator must have filled a `doc_path` route on the HTTP card) and says the tool fails with an actionable error when it isn't set. It does not explicitly name an alternative tool to use instead, so it stops short of full when/when-not routing.

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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