分析/路线历史

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. '查看' implies a read-only retrieval, but nothing is stated about ordering, pagination, scope of history, or what happens when no history exists. For a no-annotation tool this leaves meaningful gaps.

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, front-loaded sentence with zero filler. The resource being retrieved is stated immediately and nothing is repeated.

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?

With zero parameters and no output schema, the description must tell the agent what comes back. It names the two record types (gap analysis reports, learning paths) but gives no sense of the fields, format, or volume of the returned history, leaving the return surface partly opaque.

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?

The tool takes zero parameters, so per the rubric the baseline is 4. There are no parameter semantics to add, and the description does not misrepresent the input surface.

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 gives a clear verb+resource: '查看' (view) historical '短板分析报告' (gap analysis reports) and '学习路线记录' (learning path records). This distinguishes it from sibling generators like gap_analysis and learning_path_generate, which produce rather than retrieve these artifacts. It is clear, though it does not explicitly name those siblings.

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?

Usage is implied by the word '历史' (historical) — use this to look back at previously generated reports and paths. However, there is no explicit when-to-use/when-not guidance and no reference to the alternative generation tools an agent might confuse it with. Adequate but with a clear gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.