slc_datasets

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the subject matter without describing output format, read-only nature, or any side effects. The term 'overview' implies a safe, read-only operation, but no specifics are given.

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 phrase that immediately conveys the tool's purpose. It is front-loaded with '总览' and contains no unnecessary words or redundancy. This is an optimally compact structure.

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 absence of an output schema and annotations, the description should explain what the tool returns. It only identifies the subject (datasets and third-party organizations) but does not specify the output structure, format, or level of detail. This leaves the agent uncertain about the result of invoking the 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 has zero parameters and an empty schema, so there is nothing to explain. The baseline for zero-parameter tools is 4, and the description adds no parameter information because none is required. The schema coverage is trivially 100%, so no gaps exist.

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 '数据集与第三方机构总览' clearly indicates an overview of datasets and third-party organizations. It implies a listing or summary function, distinguishing it from specific lookup tools like slc_endpoints or souyun_rhyme. A more explicit verb like 'list' would improve clarity, but the current phrasing is unambiguous.

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 provides no explicit guidance on when to use this tool versus alternatives. It does not mention any exclusions or sibling tool relationships. The intended usage is only implied by the term '总览' (overview), suggesting it serves as a starting point for exploring available data.

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