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

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavioral information the annotations cannot convey: the call is metered at $0.05 USDC per call via x402, which directly affects how an agent should budget and batch its usage. It does not state result size, freshness/caching, or failure behavior for payment, which keeps it below 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?

A single sentence front-loads the value proposition ("One call to see what is strong/weak now"), followed by a compact enumeration of outputs and the price. Every clause carries information; there is no filler or repetition of the 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?

With no output schema, the description must carry the return-value burden, and it largely does by listing the metric set and the summary sections (top-5, overbought/oversold counts, regime counts). The cost model is also disclosed. What is missing is response shape/size expectations and whether the snapshot is cached or real-time, 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?

The tool takes zero parameters, so per the baseline this scores 4; there is no parameter semantics to add. The description instead spends its words on output content, which is the right allocation for a no-arg tool.

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 uses a concrete verb-and-resource framing ("One call to see what is strong/weak now") and then enumerates the exact fields returned: trend, regime, RSI14, 7d/30d returns, distance to 30d high/low, plus top-5 bullish/bearish and regime counts. That is far more specific than the title alone. It does not name any sibling tool, so the boundary against get_trend or get_regime must be inferred from the word "every" and "one call".

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?

"One call to see what is strong/weak now" implies this is the aggregate/snapshot choice rather than calling per-asset indicator tools repeatedly, which is useful routing context. However, there is no explicit when-to-use or when-not statement, no named alternative, and no guidance on whether to prefer this over get_signal or get_regime for a narrower question.

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