stock_info_cjzc_em

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

The annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the tool's safety profile is clear. However, the description adds no behavioral context beyond that—no mention of data source freshness, potential delays, scope of the returned data, or any caveats. The only addition is the URL and return type, which are more structural than behavioral.

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 extremely short, but that is not conciseness; it is under-specification. It provides a title, a URL, and a return type with no coherent sentence structure or explanation. It lacks a clear purpose statement and reads more like metadata dump than a helpful description.

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, and the description does not explain what the returned pandas DataFrame contains (columns, data granularity, time range, etc.). The URL is not self-explanatory for an AI agent. For a tool that claims to return '财经早餐', the description leaves out essential details that would help an agent judge whether the output is relevant.

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, so the baseline of 4 applies. The description does not need to explain any parameter semantics because there are none. The empty schema and the fact that it takes no inputs are already clear from the structured data.

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 essentially restates the tool's title ('东方财富-财经早餐') without a clear verb or action. It gives a URL and return type but does not explain what the '财经早餐' content actually is or what the function does. It fails to distinguish the tool from many other news-related sibling tools like news_cctv or stock_news_em.

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?

There is no guidance on when to use this tool or how it differs from alternatives. The description provides no context about typical use cases, exclusions, or preferred scenarios. An agent would have no idea when to pick this over other financial news or stock information tools.

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