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andrewaws26

Claude Works

by andrewaws26

verify_resume

Check a resume HTML using lint and anti-fabrication gates to detect blocklist hits, fabricated employers, style flags, and model over-claims, returning pass/fail and findings.

Instructions

Run the two static gates (lint + anti-fabrication verify) on a resume HTML.

Use this to check any resume on disk. Returns lint_ok, verify_ok, passed (their AND), and findings: every blocklist hit (C/C++, fabricated employer, model over-claim, ...) and style flag (banned words, em dashes, rule-of-three).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool checks two gates and returns specific fields (lint_ok, verify_ok, passed, findings) with examples of findings. It is transparent about what the tool does, though it does not mention side effects.

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 two sentences long, with the first sentence stating the core action and the second providing additional detail on output. It is concise and front-loaded with essential information.

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?

Given the single required parameter and the presence of an output schema, the description is complete. It explains what the tool does, what it returns, and provides example findings, leaving no major gaps.

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 description coverage is 0%, but the description adds meaning by indicating that the 'path' parameter should point to a resume HTML file on disk. This clarifies the parameter's purpose beyond the schema.

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 clearly states the tool runs two static gates (lint + anti-fabrication verify) on a resume HTML. It distinguishes from sibling tools like build_resume and render_resume by specifying the verification purpose.

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 description says 'Use this to check any resume on disk,' which implies when to use, but it does not explicitly state when not to use or mention alternative tools for similar tasks.

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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