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Jobs Cv Library Uk Jobs

jobs_cv_library_uk_jobs
Read-only

CV-Library (UK) jobs for a location and optional keyword: job id, title, company, location (town or postcode), salary text, job type (permanent, contract...), posted time, snippet and link, 20 per page (page 1 to 5), plus the total shown ('10,000+'). From cv-library.co.uk's public search pages via a rendering residential proxy. Takes about 20 s; allow a 45 s timeout. Price: $0.02 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
qNoOptional keyword, e.g. 'nurse', 'python developer'
pageNoResults page 1 to 5 (default 1)
locationYesUK town, city or region, e.g. london, manchester, bristol

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Goes well past the readOnlyHint/openWorldHint annotations: discloses the rendering residential proxy source, ~20 s typical latency with a recommended 45 s timeout, 20 results per page across pages 1-5, and the x402 pricing model ($0.02 USDC per successful call, failures not charged). These are exactly the cost and timing facts an agent needs before calling.

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

Conciseness4/5

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

Front-loads what the tool returns before the operational caveats, and every clause carries information. It is dense — the long field enumeration plus latency/pricing could be split, but nothing is redundant.

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 3-parameter scraping tool with an output schema already present, the description covers everything else an agent must know: data source, pagination limits, latency/timeout, and billing behavior. No relevant gap remains.

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%, so the baseline is 3, but the description adds meaning the schema lacks: it clarifies that location accepts a town or postcode, caps paging at 20-per-page pages 1-5, and notes the total is returned as a rounded figure like '10,000+'.

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?

Names the specific source (CV-Library UK), the retrieval scope (location plus optional keyword), and enumerates the returned fields, so an agent can distinguish it from sibling UK boards like jobs_reed_co_uk or jobs_gumtree_jobs without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The UK/CV-Library scoping implies when this tool fits, and 'location and optional keyword' hints at the query shape, but there is no explicit when-to-use/when-not guidance and no named alternative among the many UK-capable siblings. Usage is inferable rather than stated.

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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