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

The annotations already establish read-only, idempotent, open-world, and non-destructive behavior, and the description adds meaningful non-obvious traits: it is a paid resource at '$0.002 USD per call,' claims neutrality, uses 'measured public telemetry,' and explicitly states it 'does not provide legal advice or guarantee execution outcomes.' This goes beyond what annotations convey, though it still does not describe response behavior or data freshness.

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 compact at two sentences, with the core functional scope front-loaded and the cost/legal caveats in a short second sentence. It is not bloated, though the first sentence is somewhat packed and repeats the 'agent-commerce' concept.

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 tool with five optional parameters, no output schema, and no parameter descriptions, the definition is not complete enough to invoke reliably. It tells the agent what broad domain the tool covers and that it is paid, but it omits how parameters combine, what response an agent should expect, and how to select this tool against the many closely named siblings.

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%, so the description must compensate, but it only partially explains the 'mode' enum by listing route, verify, preflight, policy, observe, and benchmark actions. It adds no meaning for 'job,' 'protocol,' 'capability,' or 'min_reliability,' leaving an agent without enough information to populate these optional parameters correctly.

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 states a clear resource and action set: 'control intelligence for AI-agent commerce' that 'route[s], verif[ies], preflight[s], appl[ies] technical policy signals, observe[s] and benchmark[s] agent-commerce surfaces.' It is not a tautology, and it conveys a functional scope. However, it does not distinguish itself from the many sibling control-plane and preflight tools, and 'control intelligence' remains somewhat abstract.

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 explicit guidance is given about when to prefer this tool over siblings such as execution_safety_preflight, procurement_router, or agent_commerce_benchmark_snapshot. The list of actions and the mode enum imply possible use cases, but the description offers no when-to-use, when-not-to-use, or alternative routing.

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