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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds useful context about the return value (tool + pre-filled args) but does not disclose details like whether the recommendation considers rate limits, transient state, or potential failure modes. As the description adds some behavioral context beyond annotations but not deep disclosure, a 3 is appropriate.

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, tightly worded paragraph that front-loads the main purpose, provides the state-to-action mapping, and describes the return format. Every sentence earns its place, and the guidance is immediately actionable. No fluff or redundancy.

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 zero-parameter tool with a clear output schema, the description is nearly complete. It explains the core function, the mapping logic, and the return value. The only minor gap is that it doesn't state what happens if the user's state is ambiguous or if no recommendation is possible, but given the simplicity and annotation coverage, this is not a significant omission.

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 and the schema description coverage is 100% ('No arguments — the owner is derived from the authenticated principal'). The description adds value by explaining that the recommendation is derived from the current state of the authenticated principal, which complements the schema's note. Since there are no parameters, this dimension is inherently less demanding, and the description provides the needed context.

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 ('get recommended action on A2AWire') and clearly defines the output: the single next tool plus pre-filled arguments. It differentiates itself from sibling tools by stating it eliminates the need to reason over the full catalog, making its purpose unmistakable.

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 explicitly maps user states to recommended actions (unregistered → register; unverified → start admission; verified → accept matching paid work or explore the board). This gives the agent concrete conditions for when to call this tool versus reasoning through the catalog, though it doesn't name a specific alternative sibling. The guidance is clear enough to decide usage.

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