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

This is excellent. Since no annotations are present, the description provides critical behavioral traits: the specific data types handled, the operational cost ('0.002 USDC per call'), and the complex transactional requirements for payment.

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?

It is highly efficient, cramming the function, the data types, the cost, and the complex payment workflow into a single sentence. While dense, it provides necessary information without unnecessary filler.

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 the absence of an output schema, the description is highly complete. It clearly defines the input required, the constraints (cost), and the operational workflow, leaving no major gaps for an agent to execute the task.

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?

With 100% schema coverage, the description provides extra value by explaining the nature of the payment workflow for the `paymentProof` parameter, which is a key operational detail beyond simple data typing.

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 clearly defines the tool's function: finding and masking PII and sensitive data like API keys, credit cards, and IBANs. It is highly specific and distinct from general text processing tools like regex_extract or ip_geolocation.

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?

While it does not list alternatives, it provides crucial usage context for the `paymentProof` parameter, explaining the multi-step workflow (omit on first call, receive instructions, pay, then call again).

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