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Gowthamch6s

JobMatch MCP

by Gowthamch6s

Search Jobs

search_jobs

Search live job postings by job title or keyword, with an optional location filter to identify relevant openings.

Instructions

Search live job postings by title/keyword and optional location.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesJob title or keyword, e.g. "agentic AI engineer". Required, non-empty.
locationNoCity/region to filter by, e.g. "Tampa, FL". Optional; omit for all locations.
max_resultsNoNumber of listings to return, 1-20. Defaults to 5.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It accurately conveys a read-only search behavior and mentions 'live' postings, but it does not mention result ordering, pagination, or any system-level constraints. These gaps are minor for a search tool but still present.

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?

The description is a single, front-loaded sentence with no wasted words. It names the action, resource, and main filters immediately, making it easy for an agent to parse quickly.

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?

For a simple search tool with full schema coverage and an output schema, the description is sufficient for selecting and invoking the tool. The main omission is explicit guidance on when to use this tool over its siblings, but those siblings are distinct enough that this is a minor gap.

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 parameters are already fully documented in the schema with examples and constraints. The description adds little beyond restating that query and location are the relevant filters.

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 ('Search'), a resource ('live job postings'), and the key filters (title/keyword, optional location). It clearly distinguishes itself from sibling tools that score resume matches, track applications, or list applications.

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 use case is clear from the description: find job postings by keyword and optionally filter by location. It does not explicitly name alternatives or exclusions, but the sibling tools perform such different functions that confusion is unlikely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.