get_ccn_synthesis

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

With no annotations, the description carries the full burden and does substantial work: it discloses the $0.01 USDC per-call price, the x402 payment rail on Base L2, and the treasury recipient — exactly the kind of cost/auth context an agent needs before invoking a paid tool. It does not cover failure modes, whether payment is automatic versus pre-authorized, or latency/refresh characteristics, 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?

Front-loads the price marker and the resource, then layers return contents, payment mechanics, and the sibling comparison — a sensible ordering with no filler sentences. The single dense paragraph is information-dense but slightly harder to scan than it would be with the return fields separated out.

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?

Because there is no output schema, the description must describe return values itself, and it does so field by field, including the semantics of the sentiment range (-1..1) and the 20-article bundle. Payment cost and rail are covered; freshness guarantees and error/refund behavior are the remaining gaps for a paid, analysis-generating tool.

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 and the description correctly implies a no-argument call, adding nothing misleading. With an empty object schema there is no parameter meaning to add, so the baseline of 4 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?

Names a specific resource (CCN crypto news synthesis) and enumerates exactly what the payload contains: market_pulse, key_developments, per-topic sentiment scores, entities, actionable_takeaways, and 20 source articles. It is clearly distinguishable from the raw-feed sibling get_crypto_news and from ccn_story_threads_info, which an agent can tell apart 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?

Explicitly routes the agent: 'Use this instead of raw news feeds when you need decision-ready insight, not just headlines' gives a positive selection criterion and names the class of alternative. It stops short of an explicit exclusion (e.g. when cost or latency should push you to get_ccn_freshness or the free feed instead), so it is strong guidance rather than a complete when/when-not matrix.

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