zentao_delete_testcase

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

No annotations are provided, and the description only states the operation without revealing behavioral traits like irreversibility, permission requirements, or side effects (e.g., cascade deletes). This is a significant gap for a mutation 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 extremely concise (one short phrase) and front-loaded with the action. While concise, it could benefit from additional context without becoming verbose. No wasted words.

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 delete tool with one required parameter and no output schema, the description is minimally adequate. However, without annotations, more behavioral context (e.g., 'irreversible', 'requires login') would improve completeness for an AI agent.

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?

Input schema has 100% description coverage for the only parameter 'id' (description: '用例 ID'), so the parameter meaning is clear from schema. The description adds no extra semantics, meeting the baseline for high 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?

Description '删除禅道用例' clearly states the tool deletes a test case in ZenTao, using a verb+resource structure. It is distinguishable from sibling tools like zentao_create_testcase and zentao_update_testcase, which are not delete operations.

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?

No guidance on when to use this tool versus alternatives, such as prerequisites (e.g., ensure test case exists), or scenarios where deletion is appropriate. The description lacks context for an AI agent to decide correctly.

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