explain_product_category
Explains a femtech product category neutrally, without brand comparisons or efficacy claims.
Instructions
フェムテック製品の種類の中立解説。銘柄比較・効能断定はしない。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| category_id | Yes |
Explains a femtech product category neutrally, without brand comparisons or efficacy claims.
フェムテック製品の種類の中立解説。銘柄比較・効能断定はしない。
| Name | Required | Description | Default |
|---|---|---|---|
| category_id | Yes |
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds genuine behavioral context beyond this: the neutrality guarantee and the explicit exclusion of brand comparison and efficacy determination, which tells an agent what to expect in the response content. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a tight, single front-loaded sentence with no filler. Every clause carries meaning — the purpose, the neutrality, and the two explicit exclusions. It is appropriately brief for a simple tool, though it could add a short parameter note without becoming verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool itself is simple (one string param, no output schema, readOnly annotations), so the burden is low. But the undocumented category_id is a real gap: an agent has no way to know what value to pass or what formats are valid. The purpose and scope are covered; the parameter semantics are not, leaving completeness partial.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the sole parameter category_id is a bare string with no format, example, or accepted values. The description does not compensate — it never mentions the parameter at all. With zero schema documentation, the description needed to explain what category_id represents and what valid inputs look like, and it fails to do so.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear verb (explain) and resource (femtech product types) with a neutral-scope qualifier, and explicitly states what it does not do (no brand comparisons, no efficacy claims). However, it does not differentiate from the sibling 'get_femtech_topic', which may overlap in purpose, so the boundary between the two is left ambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The neutrality constraint ('neutral explanation', 'does not make brand comparisons') implies the intended use case — a balanced, non-recommendation overview — but no alternatives are named and no when-not-to-use conditions are given. The guidance is implied rather than explicit, and the sibling set (get_femtech_topic, verify_source) is not referenced.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.