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

No annotations are present, so the description carries the disclosure burden. It does reveal that the tool adds/records summary content, and it emphasizes additive recording of user-provided information. It does not explain persistence, whether an existing record is appended vs. replaced, authorization needs, or error/response behavior, which are material for a write tool.

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 well-structured with a front-loaded purpose, trigger, scenario bullets, and explicit parameter guidance. It is a little long, but each bullet earns its place by giving operational guidance rather than repeating boilerplate.

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 2-parameter, no-output-schema tool, the description covers the trigger, content requirements, keyword selection, and usage scenarios, which is enough to call the tool correctly in most cases. Minor gaps remain around return behavior, persistence, and sibling-tool distinction.

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?

Although schema coverage is 100%, the description adds real value: it gives a concrete example for content and a 'one-sentence clarity' rule, and it supplies keyword constraints (no more than 5, prefer specific/independent/relevant terms such as project names or people). This goes meaningfully beyond the generic schema text.

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 opens with a clear verb and resource: '添加对话总结到记录中' (add conversation summary to a record), and later gives a concrete trigger ('当用户说"总结记录一下"'). It does not explicitly contrast itself with sibling tools such as save_summaries, so it lacks 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?

It provides clear usage context and scenarios: use when the user asks to summarize/record, when capturing requirements, user-approved information, or project progress/decisions. However, it provides no exclusions or explicit guidance on when to prefer save_summaries/show_summaries instead.

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

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

With no annotations provided, the description carries the full behavioral burden, and it does so well. It discloses that the tool appends records to a timestamp-named YYYYMMDD.md file, preserves order, writes plain strings rather than JSON, and saves all in-memory summaries at once.

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 well-structured: a one-sentence purpose, a usage trigger, and a short numbered list of procedural steps. Every sentence earns its place, and key details are front-loaded.

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 tool with one optional parameter, no annotations, and no output schema, the description is complete enough for an agent to invoke it correctly. It covers when to use it, what data it writes, where it writes, how it formats content, and the append behavior.

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 only parameter, customPath, is already fully described in the schema with 100% schema coverage, including its optional nature and fallback to an environment-variable path. The tool description adds no additional parameter meaning beyond that.

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 clearly states what the tool does: saves all current summaries to a file. It names the resource ('summaries'), the action ('save'), and the destination ('file'), and it is clearly distinct from siblings add_summary and show_summaries, which mutate or display rather than persist.

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 description gives an explicit trigger condition: when the user says 'save summaries', use this tool. It explains that it operates on all current in-memory summaries rather than a single one, but it does not explicitly name alternatives or state when not to use this tool.

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

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

No annotations are provided, so the description carries the burden. It conveys a read-only behavior through '显示/查看' and discloses the output format (one summary per line with date, keywords, and content) plus filter/limit behavior. It does not explicitly mention side effects or authentication, but the read-only language is clear enough.

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 well-organized into sections: purpose, parameters, output format, and use cases, with the core purpose front-loaded. It is economical overall, though the use-case list is slightly redundant and the mention of summary statistics does not match the line-oriented output format described.

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 read-only tool with two optional parameters and no output schema, the description covers parameter behavior, output format, and typical triggers. Minor gaps remain, such as how multiple filterKeywords are combined and the default ordering when limit is omitted.

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 the schema already describes filterKeywords and limit in the same terms. The description repeats this information without adding defaults, matching rules, or examples, so it stays at the baseline rather than adding semantic value.

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 opens with a specific verb and resource: '显示之前记录的总结' (display previously recorded summaries). It also clarifies scope as all historical summaries, and the read-only verb clearly separates it from the sibling write tools add_summary and save_summaries.

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?

It gives an explicit trigger phrase (when the user asks to view previous summaries) and a bulleted list of valid use cases: reviewing previous points, finding a topic, viewing recent records. It does not explicitly name sibling tools as alternatives or state when not to use it, so it falls just 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.