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sanhao-global-experts

makeup-for-face

A production-ready makeup for face system for marketing and operations leaders. Get a structured, repeatable workflow you can run today - delivered as a copy-paste prompt pack with examples.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

No annotations exist, so the description carries the full burden, yet it discloses only that the result is "a copy-paste prompt pack with examples." It says nothing about permissions, side effects, length/format of output, or whether the single optional query alters results.

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

Conciseness2/5

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

Only two sentences, but both are filler marketing language ("production-ready," "run today") that conveys no actionable information. Brevity here reflects under-specification rather than editorial discipline.

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?

With no annotations and no output schema, the description is the only source of behavioral detail, and it fails to explain what the agent receives back, what domain 'makeup for face' covers, or how to scope the optional query. A caller is left guessing.

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% for the single optional 'query' parameter, so the schema already defines it and the baseline of 3 applies. The description adds no meaning about how scoping the analysis changes the returned prompt pack.

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

Purpose2/5

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

The description restates promotional positioning ("production-ready makeup for face system for marketing and operations leaders") rather than naming a concrete verb and resource. The name hints at cosmetics or styling, while the body claims a marketing/operations workflow, so an agent cannot tell what the tool actually produces or how it differs from the many sibling copywriting/strategy tools.

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?

No when-to-use guidance, no exclusions, and no named alternative among the hundreds of siblings. Phrases like "you can run today" are marketing framing, not selection criteria.

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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