search_skill
Search through previously learned skills and retrieve top matching ones to apply past solutions to new tasks.
Instructions
搜索已学习的技能。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| top_k | No |
Search through previously learned skills and retrieve top matching ones to apply past solutions to new tasks.
搜索已学习的技能。
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| top_k | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavior. It only says 'search' without specifying whether it is read-only, what it returns, how results are ranked, or any side effects. This is insufficient for a search operation.
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 extremely concise (one short sentence), which is structural simplicity, but it lacks essential detail. It is under-specified rather than efficiently informative, so it does not fully earn its place.
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 simple search tool with two parameters and no output schema, the description should at least indicate the return format or result count. It does not, making the tool incomplete for an agent to call correctly without guessing.
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 description does not elaborate on 'query' or 'top_k' beyond their names. The agent gets no guidance on expected input format, semantics, or the meaning of top_k (e.g., maximum number of results).
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 action – search learned skills – with a specific resource (skills). It distinguishes from search_memory by specifying 'skills' rather than generic memory, but it does not explicitly contrast with siblings like get_skill or list_skills, so differentiation is partial.
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 guidance on when to use this tool versus the sibling tools (e.g., search_memory, get_skill). There is no mention of alternatives or conditions for use, leaving the agent to infer the appropriate context.
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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