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

Annotations already signal read-only, non-destructive behavior, and the description adds meaningful context: it returns the pay_to address, minimum, and rate, and explains the on-chain verification requirement. There is no contradiction with the annotations.

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?

Two compact sentences lead with the core purpose, then state the key output fields and public access. Every clause earns its place with no repetition or 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?

For a zero-parameter informational endpoint with an output schema, the description fully covers what the agent needs: the purpose, the method (USDC on Base), the returned fields, and the credential requirement. Nothing essential is missing.

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 100% schema description coverage, so there is no parameter burden for the description to carry. The description still adds value by explaining what the response contains rather than needing to explain inputs.

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 identifies the tool's purpose: returning terms for refilling credits machine-to-machine, specifying USDC on Base, the published pay_to address, minimum, and rate. This is a specific verb-resource pairing and is easy to distinguish from siblings like billing.balance.

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 usage for refilling credits and explicitly notes it is public with no credentials needed, which is useful context. However, it does not state when to use this tool versus alternatives such as billing.balance, and no exclusions are provided.

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