stock_sse_deal_daily

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe read operation. The description adds the return type (pandas.DataFrame) and the parameter meaning, but does not disclose additional behavioral details such as the DataFrame's columns, date range constraints, or any rate limits. This is minimal value beyond annotations.

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 reasonably short but mixes a Chinese title, a URL, and Python docstring format (param/return lines). The title is redundant with the annotation title, and the structure is somewhat fragmented, though it does not waste many words.

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?

The tool is simple with one optional parameter and no output schema, but the description only vaguely states that the return is '每日股票情况' (daily stock situation). It does not describe what data is contained in the DataFrame, how the default date is used, whether other formats are accepted, or any error conditions. With no output schema, the description should provide more substance about the return value and behavior.

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 schema provides only a type and default for 'date' with no description. The description adds that the parameter is a trading day (交易日) and specifies it is a string. This gives some meaning beyond the schema, but it does not specify the expected format (beyond the default example) or any valid range, leaving gaps for a 0% schema description coverage case.

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 identifies the resource as daily stock trading overview data from the Shanghai Stock Exchange, with a specific URL and the Chinese hierarchical path. However, it lacks a clear verb (e.g., 'fetch', 'get') and does not explicitly distinguish itself from similar sibling tools like stock_sse_summary, so it is clear but not fully differentiated.

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 guidance on when to use this tool versus alternatives. It only states the data source and parameter, with no mention of use cases, exclusions, or related tools. The implied usage is present but not explicit.

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