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Get Application Link

get_application_link
Read-onlyIdempotent

Returns the direct application link for a public open job. Use this tool when the user wants to apply for a specific job after identifying it via search_jobs or get_job_details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobIdNoJob 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 / jobId / default
      Added value: +null
    • removedInput schema / required
      Removed value: -[
      -  "jobId"
      -]
  2. Changed2 schema fields changed
    • changedInput schema / properties / jobId / 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 / jobId / type
      Removed value: -"integer"
  3. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds meaningful scoping by stating the link is for a 'public open job' and clarifying the return value is a 'direct application link,' though it does not discuss edge cases such as expired links or non-open jobs.

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 sentences with no filler: the first front-loads the tool's output and scope, the second gives actionable usage context. Every sentence 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 one-parameter read-only tool with comprehensive schema documentation and safety annotations, the description fully covers what the tool does, when to use it, and what it returns. No output schema is present, but saying it returns the 'direct application link' is sufficient for this tool's simplicity.

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% and the jobId parameter is already well-documented as coming from a previous search_jobs result and accepting an integer or integer-string. The description adds only a minor connection to get_job_details as another source, so the schema carries most of the parameter burden.

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 states a specific verb and resource: 'Returns the direct application link for a public open job.' It also distinguishes the tool from siblings by framing it as the application step after identification via search_jobs or get_job_details, making its role in the workflow clear.

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 says to use this tool 'when the user wants to apply for a specific job after identifying it via search_jobs or get_job_details.' This gives a clear trigger condition and names the preceding tools, effectively telling the agent when not to use it (before a job is identified).

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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