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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly discloses the $0.02/$0.05 pricing, the USDC Base payment address, HTTP 402 for unpaid requests, and JSON responses after a valid X-PAYMENT. This gives an agent a clear model of the tool's real-world behavior.

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 dense and information-rich, with nearly every clause earning its place by adding pricing, pagination, or failure behavior. However, it reads as a run-on block and does not cleanly front-load the core purpose before payment details, which keeps it from being perfectly structured.

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 paid, paginated text retrieval tool with no output schema, the description covers payment, price tiers, pagination modes, error behavior, and response format. Minor gaps remain, such as how page relates to before/since pricing and how an agent obtains an X-PAYMENT value, but the core context needed to call the tool is present.

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 100% and the schema already explains id, page, since, before, and x_payment in detail. The description adds pricing and response behavior, but does not materially improve parameter semantics beyond what the schema states, so the baseline score of 3 is appropriate.

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 as serving OCC institution C&D / consent-order text via a GET endpoint, naming the specific resource. It does not explicitly distinguish itself from sibling tools, but the OCC-specific scope makes the purpose reasonably clear.

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 gives concrete usage guidance: a plain GET returns the newest chunk, ?before returns an older chunk, ?since returns newer-than-watermark content, and ?id retrieves one official text. It does not compare with sibling tools or state when not to use it, so it stops 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.