stock_gpzy_profile_em

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, covering the safety profile. The description adds a source URL and return type (DataFrame) but does not disclose other behavioral traits such as data freshness, network requirements, or the shape of the returned data. Given the annotations, this is acceptable but not rich.

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 compact at three lines. The first line is a Chinese breadcrumb path that largely duplicates the tool's name meaning, and the URL is useful for source identification. It is not overly verbose, but the redundancy keeps it from a perfect score.

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?

With no output schema, the description should explain what the returned DataFrame contains, but it only states 'equity pledge market profile' and gives a URL. It leaves column names, data granularity, and whether the data is historical or a snapshot unspecified. This is minimal but sufficient for a zero-parameter read-only 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 the schema is empty (100% coverage), so no parameter documentation is needed. The description adds nothing about parameters, but none exist, so the baseline of 4 applies.

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 clearly identifies the resource as the equity pledge market profile from East Money's data center, with a specific URL and return type (pandas DataFrame). It lacks an explicit verb like 'fetch' or 'get', but the ':return:' phrasing implies retrieval. It does not explicitly differentiate from sibling pledge tools, but the specialized 'market profile' terminology and URL provide enough distinction.

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 versus siblings such as stock_gpzy_pledge_ratio_detail_em or stock_gpzy_distribute_statistics_*. No mention of alternative tools, use cases, or exclusions is present.

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