get_patent_detail
按 patent_id 取专利详情 + 关联药品/成分(linked_drugs,最多 20 条)。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| patent_id | Yes | search_patents 返回的 id |
按 patent_id 取专利详情 + 关联药品/成分(linked_drugs,最多 20 条)。
| Name | Required | Description | Default |
|---|---|---|---|
| patent_id | Yes | search_patents 返回的 id |
Changes observed during successful MCP inspections.
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 usefully discloses a behavioral limit (linked_drugs capped at a maximum of 20), but is silent on read-only semantics (merely implied by 'get'), error/not-found behavior, and output shape.
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?
A single compact sentence, front-loaded with the id-based lookup and then the extra returned data. No filler or redundancy.
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?
For a one-parameter read tool with no output schema, the description summarizes both the primary result (patent details) and a key nested return (linked_drugs, max 20). It could say more about the full detail payload, but is adequate for correct invocation.
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 coverage is 100% and there is a single parameter whose description already explains it is the id returned by search_patents. The description adds no syntax or format detail beyond the schema, so the baseline 3 applies.
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 specific verb+resource: fetch patent details by patent_id, plus linked drugs/ingredients. It is clearly distinct from the other get_*_detail siblings by resource, but it never explicitly contrasts itself with search_patents, so it falls short of full sibling differentiation.
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?
No when-to-use, when-not, or alternative is stated in the description. The only usage hint (the id comes from search_patents) lives in the schema's parameter description, not in the tool description itself.
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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