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

With no annotations, the description carries the full burden and does well: it discloses the paid model ($0.02 USDC on Base), the in-band x402 MCP payment mechanism with the specific _meta key, and a non-MCP HTTP fallback. It does not disclose data refresh cadence, failure/refund behavior, or rate limits, which keeps it short of a 5.

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?

Payload contents are front-loaded in one dense clause, followed by the payment/access facts. No filler sentences and no restatement of the tool name or title.

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?

There is no output schema and no annotations, so the description must explain returns — and it enumerates them thoroughly, including the scoring formula and breadth definition. What is missing is freshness/coverage timing and any error or payment-failure behavior, which matters for a paid call.

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?

A single optional parameter with 100% schema description coverage, so the schema already explains the GW8 day-pass token and its effect. The description mentions the payment mechanism but never ties it to the pass parameter, so it adds nothing 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 verb-and-resource combination with exact scope: relative strength across 66 Kraken USD pairs, listing the computed metrics (1w/1m return, percentile ranks, 0-100 score with weighting, leaders/laggards, sector breadth). This clearly separates it from sibling data tools like get_regime, get_flows, or get_coin.

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?

Usage is only implied — an agent can infer this is the tool for cross-pair momentum ranking, but there is no explicit when-to-use/when-not guidance versus siblings such as get_full_signal or get_token_verdict. The one routing hint given is operational (also available at a raw GET URL), not a selection criterion.

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