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CareerHolo

Job details

get_job
Read-onlyIdempotent

One job's details by the id search_jobs gives: whether it is still open, the description (in full where the source allows, else an excerpt), skills, pay, work type and the links.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "job_id": "<job_id>"
    },
    "name": "get_job"
  }
}

Input Schema

NameRequiredDescriptionDefault
job_idYesThe job's id

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, closed-world and non-destructive, so the safety profile is covered. The description adds a real behavioral trait beyond them: the description field is returned in full only 'where the source allows, else an excerpt', warning the agent that text may be truncated. No auth or rate-limit context, but none is evidently needed for a read-only single-record fetch.

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?

One sentence, front-loaded with the action and the identifier source, with no filler. The trailing field enumeration is dense but each item earns its place because there is no output schema to describe the return payload.

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 carries the burden of telling the agent what comes back, and it does so by naming the returned fields and flagging possible truncation of the description text. Only minor gaps remain, such as the response shape when the job is closed or the id is unknown.

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 the single parameter is documented as an integer job id, so the baseline would be 3. The description goes further by specifying where the id comes from (search_jobs), which meaningfully reduces mis-invocation risk, such as passing a company id or a title instead.

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?

States a specific verb and resource ('One job's details') and pins the scope to a single job identified by the id that search_jobs returns. It also enumerates the payload (open status, description, skills, pay, work type, links), so an agent can distinguish it from search_jobs or company_jobs without opening the 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?

The phrase 'by the id search_jobs gives' tells the agent the prerequisite workflow: run search_jobs first, then fetch details here. It gives clear context but no explicit exclusions or comparison against alternatives such as company_jobs or match_my_skills.

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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