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

With no annotations, the description carries full responsibility for behavioral disclosure. It explains the fundamental security rationale (UA forgery vs. IP range membership), details all verdict outcomes including edge cases (e.g., 'unverifiable' never reported as spoofed), and discloses operational behaviors such as rate-limit counting and cache-warming latency. This is exceptionally transparent.

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 long but well-structured with clear sections: purpose, use cases, inputs, returns, cost, and latency. The first sentence immediately delivers the core function. Every section provides necessary operational detail without fluff. The structure makes the length appropriate for the tool's complexity.

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 there is no output schema, the description thoroughly explains all possible return fields and verdict values. It also covers cost and latency, which are essential for an agent deciding whether to invoke the tool. The information is complete enough for an agent to fully understand the tool's behavior and results.

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?

Although the input schema has 0% description coverage (only type and required flags), the description compensates fully by explaining each parameter's purpose, location (path/query), requiredness, and optional behavior. For `ua`, it even describes what happens when omitted. This adds substantial meaning beyond the bare schema.

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 opens with a specific verb+resource: 'Reconciles a claimed bot User-Agent against the operator's OWN published IP-range feed.' It clearly identifies the tool's function of verifying bot claims against IP ranges and lists the exact bots covered. This distinguishes it from sibling tools like verify_agent_signature (which likely verifies signatures, not IP ranges).

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 an explicit 'Use this tool when' section with two concrete scenarios: deciding whether to trust a bot claim before serving/allowing/logging, and separating genuine agents from impersonators. This is clear usage context, but it does not mention alternative tools or explicitly state when not to use it, so it falls just short of a 5.

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