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

No annotations are present, so the description carries the full behavioral burden, and it does disclose real invocation-critical context: the $0.01 USDC-on-Base cost, in-band x402 MCP payment via the _meta 'x402/payment' field, and an alternate REST endpoint. It stops short of describing output shape, freshness, or failure modes, which a paid data tool would ideally cover.

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?

Three compact sentences: identity first, then cost/payment, then the HTTP fallback. Front-loaded and largely free of padding, though the payment mechanics are dense with identifiers that could be shortened.

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, the description should hint at the return shape of this niche indicator, and it does not. Payment and endpoint details are complete, but an agent still cannot anticipate the response structure or cadence.

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, including its link to buy_day_pass. The description never mentions the pass option, so it adds no meaning beyond the schema; 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?

States a specific resource (WaveTrend band dots) and a precise scope (66 Kraken 4h USD pairs), so the agent knows exactly what data comes back. It does not differentiate itself from adjacent signal tools like get_full_signal or get_regime, and 'band dots' remains somewhat niche jargon, but the resource is concrete.

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?

There is no guidance on when to call this instead of get_full_signal, get_regime, or the other signal siblings, nor any stated preconditions beyond payment. The agent is left to infer the use case from the description alone.

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