stock_gdfx_free_holding_teamwork_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 by structured fields. Beyond that, the description only adds the source site and the return type (pandas.DataFrame); it says nothing about rate limits, data freshness, or what the collaboration figure means. Minimal added value.

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?

It is front-loaded with the data category, but it is a raw docstring dump: a bare URL and :param/:type/:return/:rtype lines that duplicate the machine-readable schema. Nothing is wasted badly, but it is not shaped as prose guidance for an agent.

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 single-parameter, read-only data fetch, the annotations cover safety and the rtype line covers the return shape, so the description is close to adequate. Still missing: what '股东协同' measures, how the returned DataFrame is structured, and any routing hint relative to the many similar gdfx siblings.

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 coverage is 0% and the schema declares no enum for symbol, so the description carries the whole burden. It supplies the full choice set {"全部", "个人", "基金", "QFII", "社保", "券商", "信托"} plus the type, which the schema omits entirely. It does not mention the schema default of 社保, but the enumeration is the critical missing semantic and is provided.

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 a specific source and data category (东方财富网－数据中心－股东分析－股东协同－十大流通股东), so the resource is concrete. However, there is no verb and no explanation of what '股东协同' data actually represents, and it gives no basis for distinguishing itself from the many sibling shareholder tools (stock_gdfx_free_holding_detail_em, stock_gdfx_free_holding_statistics_em, stock_gdfx_holding_teamwork_em). It is a named data endpoint rather than a clearly stated purpose.

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, no prerequisites, and no mention of alternative tools. The bare URL and docstring fields give no indication of which shareholder-analysis sibling to pick. The only usable signal is the implicit 'this returns the data category in the title'.

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