update_label

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

With no annotations, the description must disclose behavioral traits, but it does not. It fails to specify whether the update is partial (only provided fields) or full replacement, what happens if the label does not exist, whether permissions are required, or what the response contains. 'Update' implies mutation but leaves critical side effects and error behavior undisclosed.

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 and well-structured. It opens with a one-sentence purpose, then lists each argument with a brief explanation. Every word earns its place; there is no redundancy or filler. The format is scannable and easy to parse.

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 mutation tool with no annotations, the description is incomplete. It does not explain update semantics (partial vs full replacement), success/failure behavior, or required permissions. The output schema exists, so return details are covered elsewhere, but the lack of behavioral context and usage guidance leaves significant gaps for an agent deciding to invoke this tool.

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?

Despite the schema having no property descriptions (0% coverage), the description's Args section provides meaningful explanations for each parameter: 'project_id: The UUID identifier of the project', 'name: New name for the label', 'color: New color hex code for the label'. This adds value beyond the bare schema titles. However, it does not clarify nullability semantics or whether omitted fields are left unchanged.

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 begins with a clear verb+resource statement: 'Update an existing label.' This immediately distinguishes it from siblings like create_label, delete_label, get_label, and list_labels by explicitly indicating modification of an existing resource. No ambiguity or tautology.

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 is provided on when to use this tool versus alternatives. It does not mention prerequisites (e.g., label must exist), when to prefer it over create_label or get_label, or any exclusions. The description only states the action without contextual or conditional advice.

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