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sanhao-global-experts

migraine-relief

Save hours every week. This migraine relief toolkit gives you a battle-tested prompt and operating playbook for restaurant/brand growth. No setup, works in any LLM chatbot.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.4/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing about what the tool actually does at runtime, what it returns, permissions, or side effects. Its only 'behavior' statements are sales claims ('No setup'), which are uninformative for invocation decisions.

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?

It is brief, but the sentences are pure marketing hype rather than substance, and the content is misaligned with the tool name. Brevity does not compensate for misleading content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter tool with no output schema and no annotations, the description should at minimum explain the actual function and expected output. Instead it describes an unrelated restaurant/brand growth playbook, leaving an agent unable to determine the tool's true behavior.

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?

With a single optional parameter at 100% schema description coverage, the schema already fully documents 'query'. The description adds no meaning about the parameter, but the baseline of 3 applies because schema coverage is complete.

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

Purpose1/5

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

The name 'migraine-relief' describes a health symptom relief tool, but the description describes a 'migraine relief toolkit' that actually delivers 'a battle-tested prompt and operating playbook for restaurant/brand growth' — a completely unrelated purpose. The description is misleading about what the tool actually does, giving an agent no reliable basis for selection.

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

Usage Guidelines1/5

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

There is no when-to-use or when-not-to-use guidance. Promotional claims ('Save hours every week', 'No setup, works in any LLM chatbot') are marketing copy, not usage instructions, and never reference any sibling tool or alternative.

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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