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VeritaHire live jobs

Read one job posting in full

get_job
Read-only

The whole posting text from the employer, its requirement facts (education, licences, years required and preferred, skills), pay, benefits, whether it is still open, and the apply link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
job_idNoVeritaHire job id, as returned in search results

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / job_id / description
      Previous value: -"From search_live_jobs"New value: +"VeritaHire job id, as returned in search results"
  2. First observed

TDQS

C2.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds substantive behavior beyond that by enumerating what the call actually returns (full posting text, education/licence/year requirements, skills, pay, benefits, open status, apply link) – valuable because there is no output schema. It stops short of noting failure behavior when neither url nor job_id is supplied.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single, reasonably short sentence with no padding, but it is a grammatical fragment (no subject or verb) and reads as a sprawling comma-separated inventory. Nothing is front-loaded as the primary action or the key selection criterion.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

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 right thing by describing the returned fields, which largely compensates on the output side. However, for a tool with two optional identifiers and near-duplicate siblings, leaving both the parameter contract and the sibling routing unexplained makes the definition adequate but incomplete.

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

Parameters2/5

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

Schema coverage is 50%: job_id is documented but url is bare. The description adds zero parameter meaning – it never clarifies url vs job_id, whether either is required, or how they interact when both or neither are given. For a 2-param tool with 0 required parameters, that gap is the main usability risk and is left entirely unaddressed.

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

Purpose3/5

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

The description is a noun phrase enumerating the posting's contents rather than a verb+resource statement, so the action (fetching one posting) is inferred from the name and title rather than stated. Scope is implied by 'The whole posting text from the employer' and the content list. It offers no differentiation from siblings such as is_job_still_open or search_live_jobs, which is a real risk here.

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 when-to-use guidance, no exclusions, and no reference to alternatives. This is a notable gap because the sibling is_job_still_open overlaps directly with the description's 'whether it is still open' content, and nothing tells the agent which tool to prefer for that question.

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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