stock_gpzy_pledge_ratio_em

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is fully covered. The description adds the data source (Eastmoney) and the return type (pandas.DataFrame), which is modest but real added value since no output schema exists; it says nothing about rate limits, freshness, or coverage.

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 definition is short and front-loads the resource and source URL, then the single parameter, then the return type. Every element is relevant; only the redundant URL repetition wastes a little space.

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 one-parameter, no-output-schema data fetch, the description covers source, parameter intent, and return type, which is close to adequate. It still omits the date format and any distinction from the gpzy siblings, so an agent could pick the wrong tool or pass an invalid date.

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 0% for the single date parameter, so the description carries the burden. It clarifies the parameter means a trading day (指定交易日) and references a lookup page, but never states the required YYYYMMDD string format that the default 20240906 implies, leaving a real gap.

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 names a specific data product (东方财富 上市公司质押比例) and its source, so the resource is identifiable. However, it uses a bare noun phrase with no verb and never differentiates from close siblings such as stock_gpzy_pledge_ratio_detail_em or stock_gpzy_profile_em, leaving the agent to infer this is the headline ratio table rather than a detail listing.

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 when-to-use guidance and no mention of any alternative tool. The URL and the note that the date parameter can be queried at that page give a faint sense of usage context, but nothing tells the agent when this tool is preferred over the detail or profile siblings.

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