remove_issue_label

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

Only annotation is 'openWorldHint: true', but the description does not explain behavioral implications like whether removal is permanent, requires permissions, or what happens if the label is not found. Minimal disclosure.

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?

Very concise single sentence, but lacks structure and detail. While not verbose, it is underspecified for a tool with two required parameters.

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 absence of parameter descriptions and behavioral context, the description is insufficient for an agent to confidently use the tool. Even though an output schema exists, the description does not address error handling or return values.

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%, and the description adds no meaning beyond field names ('issue_id', 'label_id'). Does not explain how to obtain these IDs or any constraints.

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 'Remove' and the resource 'label from an issue', distinguishing it from sibling tools like 'add_issue_label' and 'list_issue_labels'.

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 when to remove a label versus adding or listing labels. Lacks context about prerequisites or situations.

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