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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is established. The description adds behavioral transparency by disclosing that the tool returns the next tool plus pre-filled arguments, and that it derives its recommendation from the current state. No contradictions.

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 two sentences with no filler, front-loading the immediate value ('What should I do next?') then clarifying the mechanics and the state mappings in a compact list. Every element earns its place.

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 an output schema present, the description covers the essential information: what it returns, how the state is used, and example transitions. It could slightly improve by noting that the recommendation is a shortcut and may not cover all edge cases, but it's substantially complete.

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 zero parameters with 100% coverage, and both schema and description explicitly note that no arguments are needed. Per calibration rules, a 0-parameter tool receives a baseline 4, and the description reinforces the auth-derived principal without adding unnecessary detail.

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?

States a specific purpose: recommends the next action on A2AWire based on the user's state, returning a single tool with pre-filled arguments. It clearly distinguishes itself from the many sibling tools by positioning itself as the orchestration/recommendation layer rather than the action 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 implies when to use it: when the user needs a next step and wants to avoid reasoning over the full catalog. It provides state→action mappings (e.g., unregistered→register, unverified→start admission) that serve as clear triggers, but it does not explicitly state when not to use it, such as when a specific action is already known.

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