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Resume Data Extraction from URL

extract_resume_data_from_url
Read-onlyIdempotent

Accepts a direct URL to a PDF, DOCX, or RTF file and returns the same normalized JSON profile as the Resume Data Extraction tool. Ideal for pipeline automation where resumes are stored in cloud storage, S3, or email attachments. Also supports the same auto-fill, multilingual, and batch-processing capabilities as the core extraction tool for URL-based intake sources.

Input Schema

NameRequiredDescriptionDefault
urlNoDirect, publicly accessible URL to the resume/CV document (pdf, doc, docx, rtf, etc.). The server fetches it directly.

Output Schema

NameRequiredDescriptionDefault
dataYesTool-specific result payload. The exact fields depend on which tool produced this result.
metaYesRequest metadata: unique trace ID and server-side processing latency.
successNoAlways ``true`` for a successful result. Check this field first to distinguish success from error envelopes.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive behavior, so the safety profile is covered. The description adds that the server fetches the URL directly and that it supports batch and multilingual processing, but it says nothing about failure modes the openWorld hint implies: authentication-protected URLs, redirects, oversized files, or fetch timeouts.

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?

Front-loaded and reasonably brief, but it repeats the same idea twice: 'returns the same normalized JSON profile as the Resume Data Extraction tool' and 'Also supports the same auto-fill, multilingual, and batch-processing capabilities as the core extraction tool.' The second sentence largely restates the first and could be merged or dropped.

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?

An output schema exists, so return values need no explanation, and the intake scenario is clear. What is missing is any statement about what happens when the fetch fails or the URL requires auth, which matters for an openWorldHint tool whose entire behavior is a remote fetch. Adequate but with a clear 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 coverage is 100% and the single `url` parameter is fully documented in the schema, including that it must be publicly accessible and that the server fetches it. The description adds no format or constraint detail beyond that. Baseline 3 applies when the schema does all the work.

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

Purpose4/5

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

States a specific verb and resource: it fetches a resume document from a URL and returns a normalized JSON profile identical in shape to the core extraction tool. It names the sibling tool implicitly ('the Resume Data Extraction tool'), though it never names `extract_resume_data` directly, so an agent must infer that sibling handles uploaded files while this one handles URLs.

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?

Gives a clear usage context: 'Ideal for pipeline automation where resumes are stored in cloud storage, S3, or email attachments.' That effectively tells the agent to choose this over the upload-based sibling when the document lives behind a URL. It stops short of an explicit exclusion, e.g. what to do when the URL is not publicly accessible.

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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