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Get Job Details

get_job_details
Read-onlyIdempotent

Returns public details for a single open job by ID. Use this tool after search_jobs when the user wants more information about one specific job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoJob ID from a previous search_jobs result. Accepts an integer or an integer represented as a string.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / id / default
      Added value: +null
    • removedInput schema / required
      Removed value: -[
      -  "id"
      -]
  2. Changed2 schema fields changed
    • changedInput schema / properties / id / description
      Previous value: -"Numeric job ID from a previous search_jobs result."New value: +"Job ID from a previous search_jobs result. Accepts an integer or an integer represented as a string."
    • removedInput schema / properties / id / type
      Removed value: -"integer"
  3. First observed

TDQS

A4.3/5.0
Behavior3/5

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

The readOnlyHint and idempotentHint annotations already establish the safety profile. The description adds useful context by noting the details are 'public' and the job must be 'open,' which is extra behavior information. However, it does not describe error behavior for invalid or non-open IDs, so there is a small transparency gap.

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?

Two concise sentences with no filler. The core behavior is front-loaded, and the usage context is given immediately after. Every word earns its place.

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?

For a simple single-ID lookup tool with rich annotations and a well-documented parameter, the description covers what the tool does, when to use it, and what type of job it applies to. An agent has enough context to select and invoke it correctly.

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 description coverage is 100%, so the schema already documents the 'id' parameter well, including its source and accepted types. The description only says 'by ID,' adding no meaning beyond what the schema provides.

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 uses a specific verb ('Returns') and identifies the exact resource ('public details for a single open job by ID'). It clearly distinguishes itself from sibling tools like search_jobs, which lists jobs, and get_application_link, which serves a different purpose.

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?

Explicity states when to use: 'Use this tool after search_jobs when the user wants more information about one specific job.' This gives the agent clear routing guidance and implies it should not be used for browsing or searching.

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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