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Headshot audit

audit_headshot
Read-only

Score one photo 0-100 as a professional headshot and list concrete issues and fixes (lighting, framing, face visibility, background, attire). Takes a public https URL to a JPEG/PNG/WebP image. Free: 5 audits per day per user. The photo is analysed and not stored.

Input Schema

NameRequiredDescriptionDefault
image_urlYesPublic https URL of the photo (JPEG, PNG or WebP, max 10 MB)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, non-idempotent and non-destructive, so the safety profile is covered. The description adds genuinely useful behavior beyond that: a per-user rate limit (5/day) and the privacy guarantee that the photo is analysed and not stored. It does not mention latency or failure modes, keeping it short of a 5.

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?

Three tight sentences: what it returns, what input it accepts, and the quota/privacy terms. The core purpose is front-loaded and no sentence is filler.

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?

With no output schema, the description does the work of summarizing the return (a 0-100 score plus a list of issues and fixes) and covers input constraints, quota and data handling. An agent has enough to call it correctly, though there is no explicit note on error behavior for unreachable URLs.

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 parameter already documents allowed formats and the 10 MB cap; the description largely restates the same URL/format constraint. With the schema carrying this burden, the baseline of 3 applies.

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 ('Score one photo 0-100 as a professional headshot') plus the concrete outputs (issues and fixes across lighting, framing, face visibility, background, attire). This is clearly distinguishable from the guide/specs siblings by function, though the description never names them to make the contrast explicit.

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?

Input constraints are given (public https URL, JPEG/PNG/WebP), and the free-tier limit of 5 audits/day is stated, but there is no explicit when-to-use or when-not-to-use guidance and no routing versus get_headshot_guide or get_profile_photo_specs. Usage is only implied by the purpose.

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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