futures_to_spot_dce

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds only a source URL and return type (pandas DataFrame), but does not disclose behavior such as date format requirements, pagination, or network dependence. It provides minimal extra context beyond the 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 short and not excessively verbose, but its structure is a docstring-like mix of title, URL, and param/return annotations. The first line merely restates the title from annotations, and the content is not front-loaded with a clear purpose sentence. It is compact but somewhat disorganized.

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 simple one-parameter read-only tool, the description is still incomplete. It does not specify the date format, what columns will be returned, or which exchange (beyond the name). With no output schema, more detail on the return structure and usage context is needed. The URL provides a source but no functional guidance.

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 input schema has one parameter with no description (0% schema coverage), so the description carries the burden. It gives a Chinese label '期转现日期' (futures-to-spot date) and type 'str', but does not clarify the expected format. The default '202312' hints at YYYYMM, but ambiguity remains (full date vs. month). This adds only thin meaning beyond the schema.

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 is essentially a Chinese translation of the tool name (大连商品交易所-期转现 = DCE futures-to-spot) plus a URL. It lacks a clear verb phrase like 'Get futures-to-spot quotation data for DCE'. It identifies the exchange and data type but does not state what action is performed or what output is provided, making it only marginally more informative than the name itself.

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 about when to use this tool versus alternatives. Sibling tools include futures_to_spot_czce and futures_to_spot_shfe, but the description does not mention that this is specific to DCE or point to alternatives for other exchanges. No exclusions, prerequisites, or context for selection are provided.

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