futures_contract_info_gfex

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so safety is covered. The description adds the source URL (http://www.gfex.com.cn/gfex/hyxx/ywcs.shtml) and the return type (pandas DataFrame), providing context about data provenance and output format. However, it does not disclose any potential rate limits, data freshness, or specific fields returned, leaving some behavioral ambiguity.

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 concise: three lines including the title, URL, and return type. Every piece of content serves a purpose: the URL identifies the official data source, and the return type informs the agent of the output structure. There is no fluff or redundant repetition, and the information is front-loaded.

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?

Given the tool's simplicity (zero parameters, read-only, no output schema), the description is borderline adequate. It names the data source, what it queries (trading parameters summary), and the return type. However, it does not enumerate the specific columns or data fields that would be in the DataFrame, nor does it mention any caveats like whether it includes only current contracts or historical data. This leaves meaningful gaps for an agent deciding if this tool meets a user's request.

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 coverage is trivially 100% with an empty properties object. No parameter documentation is needed. The description does not add parameter semantics, but for a no-parameter tool this is not a gap, so the baseline score 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 states '广州期货交易所-业务/服务-合约信息' (Guangzhou Futures Exchange - Business/Service - Contract Information) and ':return: 交易参数汇总查询' (Trading parameters summary query), indicating a query operation for contract information of the GFEX. This is specific enough to distinguish it from similar exchange-specific tools, though it lacks an explicit verb like 'get' or 'fetch'.

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 the sibling tools for other exchanges (e.g., futures_contract_info_cffex, futures_contract_info_czce). It does not state any exclusions, prerequisites, or scenarios where this tool is preferred. The only differentiator is the exchange name in the title and tool name, which is implicit rather than explicit guidance.

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