公司研究观点：获取各券商对于个股（即：上市公司）的研究观点

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. However, it only states what the tool does at a high level without revealing any behavioral traits such as data freshness, rate limits, authentication requirements, pagination, error handling, or what the output contains (though an output schema exists). For a tool with no annotations, this is a significant gap in transparency.

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, redundant sentence that repeats the title without adding value. While concise, it's under-specified rather than efficiently informative—it fails to front-load useful information or structure content to aid understanding. Every sentence should earn its place, but this one merely restates the obvious.

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?

Given the tool's moderate complexity (4 parameters, 1 required) and the presence of an output schema (which reduces the need to describe return values), the description is minimally adequate but incomplete. It lacks context on usage, behavioral traits, and differentiation from siblings, which are crucial for an agent to operate effectively. The output schema mitigates some gaps, but overall completeness is limited.

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 input schema has 100% description coverage, with clear documentation for all four parameters (query, startDate, endDate, maxCnt). The description adds no parameter-specific information beyond what the schema already provides, so it meets the baseline of 3 where the schema does the heavy lifting. No additional semantic context (e.g., date format examples, query syntax details) is offered.

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?

Tautological: description restates name/title.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention any prerequisites, constraints, or comparative context with sibling tools (e.g., 'researchRatingStats' for aggregated ratings or 'industryResearch' for sector-level analysis). This leaves the agent with no basis for selecting this tool over others in similar domains.

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