wechat_parse_sticker_placeholder

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

The description explains the tool's behavior: parsing placeholders and returning a JSON array. It includes the expected input and output format. No annotations exist to contradict.

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 concise, front-loaded with the main action, and includes a clear example. It uses separate sections for Args and Returns without unnecessary verbosity.

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?

Given the tool's simplicity (one parameter, output schema), the description is largely complete. It could mention edge cases (e.g., no placeholders), but the example provides sufficient context for typical use.

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 description adds significant meaning beyond the input schema for the 'text' parameter, explaining it as 'Text with sticker placeholders'. This compensates for the 0% schema coverage.

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 the verb 'Parse' and the resource 'sticker placeholders from text', with an illustrative example. This distinguishes it from sibling tools like wechat_add_sticker or wechat_search_stickers.

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 provides the tool's purpose but lacks explicit guidance on when to use it versus alternatives. With many sibling tools, some context would be beneficial, but the example implies usage.

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