给出投资建议

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions a dependency on other tools' analysis results, which is useful context, but it does not disclose whether the tool performs analysis, whether it stores advice, what side effects occur, or what the return value looks like.

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 a single concise sentence with no filler, and the key dependency on other tools' analysis results is front-loaded. It could be slightly more informative while remaining concise, but it is well-structured for its length.

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 tool with no annotations and no output schema, the description is too thin to fully guide invocation. It does not explain the expected workflow, what the parameters collectively accomplish, or what the agent should expect after calling the tool, especially given the large sibling toolset.

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 all four parameters already have descriptive text, including the suggested values buy/sell/hold for action. The description adds no further parameter-level meaning, so the baseline score of 3 is appropriate.

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 states a clear verb ('给出' / give) and a distinct resource ('具体投资建议' / specific investment advice), and it notes the input is based on AI analysis of other tools' data, which differentiates it from data-retrieval siblings. However, it does not explicitly clarify whether the tool computes the suggestion or simply records/returns caller-supplied advice, so some ambiguity remains.

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 implies this tool should be used after other tools have provided analysis data, but it provides no explicit when-to-use guidance, no exclusions, and no mention of alternatives among the many sibling tools. An agent is left to infer the intended workflow.

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