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Fonciq pour le Registre foncier et zones inondables (Fonciq for Québec land registry & flood zones)

Job status / État d’une tâche

job_get
Read-onlyIdempotent

GET /v1/jobs/{id}. Status, documents, result (result.index or result.indexes) and the daily index capacity of each account used. / État, documents, résultat et capacité du jour. Scope jobs:read. Billing: identical to the HTTP route. Requires your own Fonciq API key in the Authorization header (Bearer fq_live_… or fq_test_…). This call returns no new document and is not billed (0 $). Facturation : identique à la route HTTP. Exige votre propre clé d’API Fonciq dans l’en-tête Authorization. Cet appel ne livre pas de nouveau document et n’est pas facturé (0 $).

Input Schema

NameRequiredDescriptionDefault
idYesjob_id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description still adds genuinely new context: the jobs:read scope, the requirement to supply your own Fonciq API key as a Bearer token, and the fact that the call returns no new document and is billed at $0. That is real value beyond structured fields.

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 opening is well front-loaded with the route and returned fields, but the entire payload is then duplicated in French — including the billing and auth sentences verbatim in meaning. Roughly half the text is redundant, which dilutes rather than reinforces the signal.

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?

With no output schema, the description does the work of naming the return payload (status, documents, result.index/indexes, daily capacity), and it covers auth, scope, and cost. What is missing is lifecycle context — terminal vs. in-progress statuses and whether to poll — which matters for a job-status tool.

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

Parameters3/5

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

Schema coverage is 100% and the single parameter 'id' is documented in the schema, so the schema carries the load. The description only implies the id via the route template and adds no format, source, or provenance detail (e.g., where a job id comes from, such as batch_submit). Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('GET /v1/jobs/{id}') and enumerates what comes back: status, documents, result (result.index or result.indexes), and per-account daily index capacity. That is far more than a restatement of the name. It stops short of 5 because it never distinguishes itself from the sibling job_results, which plausibly returns overlapping result data.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no mention of alternatives. The presence of job_results as a sibling makes this omission material — an agent cannot tell from the description which of the two to call for result data, nor whether polling this endpoint is the intended pattern.

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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