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

With no annotations, the description carries the full burden and does disclose the critical behavioral trait: this is a paid call ($0.02 USDC on Base, in-band via x402 MCP, _meta "x402/payment") with a pass-token bypass. It omits rate limits and failure behavior, but the payment/auth context is unusually well covered.

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?

Front-loaded with the returned data fields, then payment details and the alternate endpoint. Dense but every clause is informative; the long field enumeration earns its place given no output schema exists.

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?

With no output schema and no annotations, the description does the heavy lifting by listing return contents and the payment flow. It is essentially complete for a single-optional-param fetch tool, missing only rate-limit/error context.

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 coverage is 100% and the single 'pass' parameter is fully documented in the schema. The description alludes to the pass ('skips per-call payment') but adds no syntax or format detail beyond what the schema already provides, so baseline 3 applies.

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 names a specific resource (new Kraken USD pairs from the last 30 days) and enumerates exactly what is returned: first-seen date, price, 24h volume, % change since listing, WaveTrend 4h dot state, and blog posts. An agent can distinguish this from siblings like get_coin or get_band_dots without opening a schema.

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?

It gives useful access mechanics – pay $0.02 per call or skip payment with a pass, and a raw HTTP GET alternative – but never states when to prefer this tool over sibling data feeds (e.g., get_coin, get_full_signal). Usage is implied by the payment note rather than explicitly framed.

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