get_details_of_a_single_label

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

No behavioral traits are disclosed. The description does not mention that it is a read operation, any authentication requirements, or what happens if the label does not exist. Annotations are absent, so the description carries full burden but fails.

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?

Extremely concise (3 words), but under-specification outweighs brevity. Every sentence should earn its place; here, it provides minimal value.

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 no annotations, no output schema, and limited description, the definition is incomplete. It fails to inform the agent about return values, behavior, or how to specify the label.

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 input schema has 0 parameters, but the description does not explain how the tool identifies a label (e.g., via context or implicit ID). A baseline of 4 is reduced due to confusion about the lack of parameters.

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 'Get a label' is vague and does not clarify which label is being retrieved. The name suggests details of a single label, but no identifier is provided, making it ambiguous.

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 sibling tools like 'list_all_labels' or 'create_a_label'. The description lacks context for the AI agent to choose appropriately.

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