update_label_name

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only states the action without mentioning permissions, idempotency, side effects on other resources, or return values—essential context 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 only two sentences, but the second sentence is redundant with the first ('Update the name of a label' vs 'Use this tool to rename a label'). This redundancy wastes a sentence that could have been used for more valuable context.

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?

The description is minimal for a simple operation, but given no annotations or output schema, it should provide more context about response behavior or when to choose this over the generic update_label tool. It lacks completeness for an agent to fully reason about invocation.

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 provides 100% coverage of all four parameters with clear descriptions (e.g., 'New name for the label', 'ID of the label'). The tool description adds nothing beyond the schema, so the baseline of 3 applies.

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 tool updates a label's name, using both 'Update the name' and 'rename a label'. This specific action is distinguished from sibling tools like update_label_color and generic update_label by focusing solely on the name field.

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 second sentence 'Use this tool to rename a label' conveys the intended usage context, but it simply restates the purpose. There is no explicit guidance on when not to use this tool or how it compares to the generic update_label tool, so the usage signal is present but not robust.

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