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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It merely says 'self-description,' which does not state whether the operation is read-only, what data it returns, whether it has side effects, or any constraints. No behavioral traits are disclosed beyond the bare concept.

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 extremely short, but this is under-specification rather than effective conciseness. The phrase 'Fleet-standard self-description' is a fragment that conveys almost no useful information. Every word does not earn its place because the phrase is vague and lacks substance.

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?

Although an output schema exists, the description is too minimal to be considered complete. It does not explain what 'self-description' means, how the output is structured, or when to invoke the tool. The presence of the output schema helps, but the description itself leaves critical context unresolved, especially given the zero annotations and no usage guidance.

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 tool has zero parameters, so the baseline for this dimension is 4 per the rubric. The description adds no parameter semantics, but none are needed since the input schema is empty and coverage is trivially 100%. The description does not hinder parameter understanding.

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 'Fleet-standard self-description' is essentially a tautology of the tool name 'describe_agent'; it restates the concept without specifying what the self-description contains or what action is performed. The modifier 'Fleet-standard' adds branding but not functional clarity, making it insufficiently distinct from the name itself.

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 alternatives. It does not mention context, prerequisites, or exclusions, and none of the sibling tools are referenced. This is a complete absence of usage guidance.

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