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

With no annotations, the description carries the full behavioral burden, and it does disclose the critical trait: cost of $0.02 USDC on Base paid in-band via x402 MCP, plus a raw POST endpoint. That payment disclosure is genuinely valuable and non-obvious. However it omits rate limits, whether the data is real-time or delayed, caching behavior, and the read-only nature, so it is not fully transparent.

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 dense sentences with no filler, and the data composition is front-loaded ahead of the payment logistics. The payment/pricing sentence is information-heavy but each element (price, chain, protocol, alternate endpoint) is relevant. Minor deduction for cramming four distinct facts into one run-on clause.

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, unannotated tool with no output schema, the description covers what data is returned and how payment works, which are the essentials. It still leaves gaps an agent would want: response format, freshness of the signal, and how it relates to the component siblings. Adequate but not complete.

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 single 'pass' parameter is fully documented in the schema as a GW8 day pass that skips per-call payment. The description alludes to the payment-skipping path but never references the parameter by name, 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?

The description names the specific data composition — Stage 1 regime score, WaveTrend 10/21/4, 66 Kraken 4h pairs, band dots — which implicitly distinguishes it from siblings like get_regime and get_band_dots that return those components individually. There is no explicit verb, but for a data-fetch tool the resource is unambiguous. It falls short of 5 only because it never explicitly contrasts itself with the sibling tools.

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 statement of when to use this composite signal versus get_regime, get_band_dots, or get_sample. The only usage-adjacent content is the payment path, which is a logistics note rather than selection guidance. An agent must infer the use case from the data composition alone.

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