get_job
Récupère le détail complet d'une offre par son ID
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | Identifiant de l'offre dans iQuesta |
Récupère le détail complet d'une offre par son ID
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | Identifiant de l'offre dans iQuesta |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavior. It states it retrieves 'full details', but does not specify what those details include, nor any rate limits, authentication needs, or side effects. For a simple read operation, minimal but acceptable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that is front-loaded with the essential action. No unnecessary words; every part contributes to understanding. Ideal conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description should hint at the return structure. It says 'détail complet' but lacks specifics. For a simple retrieval tool, it is adequate but not rich. Could mention that it returns all fields of the job.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a clear description for job_id. The description adds no additional meaning beyond what the schema provides ('par son ID' is already implicit). Baseline 3 is appropriate as the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Récupère le détail complet d'une offre par son ID' clearly states the verb (récupère), resource (offre), and method (par son ID). It effectively distinguishes from sibling tools list_filters and search_jobs, which imply different operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for retrieving a single job by ID, but does not explicitly state when to use this tool over siblings (e.g., 'Use search_jobs for filtering, list_filters for filter options'). No exclusions or prerequisites are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a distinct purpose: get_job retrieves a specific job, list_filters provides valid filter IDs, and search_jobs searches for jobs. There is no overlap or ambiguity.
All tools use verb_noun snake_case naming (get_job, list_filters, search_jobs), consistent in style and pattern.
With only 3 tools, the set is minimal but covers the core workflow of searching and viewing jobs. It is on the lower end of acceptable for a job search server.
The surface covers searching with filters and fetching details. Minor gaps include no sorting or date filtering, but the essential CRUD for job viewing is present.