report_session

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

With no annotations, the description carries the full burden and largely meets it: it discloses the default drop location (<数据根>/reports/), a no-clobber policy, and the exact escape hatch (overwrite=True + confirm=True). It does not mention permissions, error conditions, or size limits, but the safety-relevant write behavior is well covered.

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?

Front-loads the core purpose in a bolded first line, then layers data-source and overwrite rules in short paragraphs. Every sentence carries information; the only mild redundancy is restating the value proposition ('毕设报告、工单、给同事看').

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?

An output schema exists, so return-value explanation is unnecessary, and the description still covers data sources, output location, and overwrite semantics. The undocumented tail_lines parameter and absent error/edge-case notes keep it from being fully complete.

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 0%, so the description must compensate. It explains fname (from sessions_list), handle (active session), the mutual default behavior, out_path (default report dir), and the overwrite/confirm pairing. Only tail_lines is left undocumented, a small remaining gap.

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?

States a specific verb (导出/export) and resource (串口会话/serial session) plus the concrete artifact produced (Markdown 交付报告 with 故障分析 + raw log). This clearly separates it from siblings like serial_session_log (logging) and analyze_log (analysis-only).

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?

Gives an explicit trigger ('调完一次问题' – after completing a debugging session) and enumerates data-source selection rules (handle vs fname vs auto-pick single log). It does not explicitly state when to prefer a sibling tool over this one, so it stops short of a 5.

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