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

With no annotations provided, the description carries the full burden, and it adds meaningful behavioral context: the output is rule-based and 'zero hallucination,' China carbon data may be missing when the source is unavailable, the response is in Chinese, and there is a price of 0.05 USDC via x402. It could disclose more about failure modes, but this is strong coverage for a read-style signal tool.

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?

The description is compact and front-loaded with the tool's identity and purpose, then packs in content, reliability, suitability, and pricing. The mixed English/Chinese phrasing is a bit dense, but every sentence adds useful information.

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, but the description explains what the agent will receive: a Chinese briefing combining raw data and plain-language conclusions from three sources. It also covers pricing and the optional wallet credit tier. The exact payment flow could be more explicit, but the tool is still safely selectable and invocable from this description.

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% because the only parameter, an optional wallet address, is fully documented in the schema. The tool description does not repeat the parameter, which is fine given the schema handles it, so the 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 a concrete resource ('Finance Signal Bundle') and a specific action ('get live computed signal'), then details the three bundled sources: cross-asset momentum, US stock fundamentals, and China carbon market. It is clear and specific, though it does not explicitly contrast itself with sibling signal 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?

The description gives clear context for when to use it: when an agent wants one merged, multi-source Chinese briefing with raw data and plain-language conclusions. It says it is 'suitable for agents to quickly consume structured intelligence,' but it does not state when not to use it or name a preferred alternative.

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