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, yet it discloses almost nothing: no statement of what is returned, whether the template is static, whether it mutates anything, or whether the optional query changes the result. The one useful disclosure is that the payload contains a prompt, a usage guide, and edge-case handling, but that is vague about structure.

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 opening sentence 'Turn expertise into output' and the 'in minutes' promise are pure marketing noise that precede any useful information. The only substantive detail (prompt + usage guide + edge cases) arrives last and is not front-loaded, so the structure works against quick tool selection.

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 zero-required-parameter tool with no annotations and no output schema, the description should explain what the call returns and when to prefer it over the check/gen siblings; it does neither beyond a vague mention of a prompt pack. An agent could not reliably decide to invoke this tool from the description alone.

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 100% for the single optional 'query' parameter, so the schema already explains its meaning; the description adds nothing about how a query scopes the template output. Per the high-coverage baseline, a 3 is appropriate rather than penalizing the description for not repeating the schema.

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 never states a concrete verb+resource; it says the tool is an 'accept tpl tool prompt pack' that 'helps restaurant and brand teams produce professional results in minutes', which essentially restates the name. It gives no signal about what 'accept' means here (acceptance/验收 templates?) or how it differs from the sibling rd-accept-check-tool and rd-accept-gen-tool. The clearest concrete claim is that it 'includes the complete prompt, usage guide, and edge-case handling', which hints at a template-delivery tool but is buried in marketing copy.

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?

There is no when-to-use guidance: nothing says whether to call this before rd-accept-gen-tool, instead of rd-accept-check-tool, or what inputs make sense. The only usage framing is marketing phrasing ('Turn expertise into output'), which does not help an agent decide between this and its siblings.

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