update_label

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

Annotations are absent, so the description carries the full burden. It discloses read-modify-write behavior for v1 and description changes on v2, and notes the extra request cost, but it does not mention idempotency, error handling, or permissions. This is partial but non-trivial transparency.

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 a bit wordy, especially the v1/v2 explanation, which is somewhat convoluted and could be clearer. It is structured in three short paragraphs, but the version behavior section reads awkwardly. Overall, it is acceptable but not tight.

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 update operation with no output schema, the description covers the core action and some behavioral nuances. However, it omits key details like whether at least one field must be supplied, the meaning of null for title, and any error cases. These gaps make it only moderately complete.

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 schema has no parameter descriptions (coverage 0%). The description adds meaning for hex_color (format and clearing via empty string) and description (Markdown), but leaves title and label_id unexplained, and does not specify how null values behave for title or description. Coverage is about 50%, so it partially compensates.

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 'Update a label' and explicitly clarifies partial update semantics with 'Only the fields you pass change' and the effect on tasks. This distinguishes it from other label operations like create, list, or delete.

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 no guidance on when to use this tool versus sibling tools such as create_label, delete_label, or list_labels. It does not mention that it should be used for modifying existing labels and that other tools handle creation/removal.

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