remove_label

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It indicates a mutating action, but does not state whether the operation is reversible, what happens if the task or label does not exist, or whether the label definition itself remains intact. The sentence 'Remove a label from a task' gives minimal behavioral detail beyond the operation itself.

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 single concise sentence that is appropriately sized for a simple two-parameter mutation. It is front-loaded with the action and object, containing no filler or redundant information.

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 tool with two required integer parameters, the description plus parameter names may be sufficient to form a basic call. However, it lacks any guidance on behavior in edge cases, relationship to add_label, or expected result, so an agent has some gaps to reason through.

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 description coverage is 0% and the description does not explicitly explain task_id or label_id. The parameter names are self-explanatory and the description provides some context, but it does not compensate for the missing schema descriptions or clarify IDs, required relationships, or 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 uses a specific verb and resource: 'Remove a label from a task.' This clearly distinguishes it from sibling tools like delete_label (removing a label entity) and add_label, and the 'from a task' phrasing removes ambiguity about the operation's scope.

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 gives no explicit guidance about when to use this tool versus alternatives such as delete_label or remove_assignee. The intended use is only implied by the name and sibling context; there are no exclusions, prerequisites, or alternative routing.

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