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Crawlora MCP

google_jobs

Read-only

Google Jobs search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoOptional 1-based result page number, default 1.
queryNoRequired. Google Jobs search query, e.g. software engineer.
nocacheNoAdmin/monitor keys only: force a fresh live render, bypassing the availability cache. Ignored otherwise.
locationNoOptional location to filter jobs, e.g. San Francisco, CA.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.5/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and network scope are covered structurally. The description adds nothing on top of that — no note on pagination behavior, caching (the nocache param implies a cache exists), or result freshness, which are the interesting behavioral traits for this tool.

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?

The single sentence has zero waste and is front-loaded, but it is under-specified rather than genuinely concise — it conveys almost no information the tool name did not already convey.

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

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be described, and annotations cover the safety profile. What is missing is the usage context: with job-search siblings such as google_jobs_search and google_jobs_job, the description should say when this variant applies, and it does not.

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 all four parameters (page, query, nocache, location) are documented in the schema itself. The description contributes no additional parameter meaning, so the baseline 3 for fully-covered schemas applies.

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?

"Google Jobs search" names a verb (search) and a resource (Google Jobs), so it is not a pure tautology. But it gives no differentiator against the many sibling job-search tools (google_jobs_search, google_jobs_job, indeed_search, apple_jobs_search), so an agent cannot tell from the description alone which one to call.

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 mention of alternatives. The sibling list contains google_jobs_search and google_jobs_job, and the description does nothing to explain the relationship or when this tool is preferred.

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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