get_dce_daily

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered. The description adds the return type (pandas.DataFrame) and the fact that the payload is per-variety market data for one trading day, which is useful, but says nothing about how a non-trading date is handled or how the network fetch behaves (slow, rate limited, HTML scraping of the linked page).

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 purpose is front-loaded in the first line and the docstring fields are tight and non-redundant. The raw documentation URL is of marginal value to an agent and is the only mildly wasteful element.

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 characterize the return; it does so only at a high level ('具体交易日的个品种行情数据' plus rtype), without listing fields such as contract, open/high/low/close, volume, open interest, or settlement. For a market-data endpoint whose usefulness depends on knowing those columns, this is adequate but incomplete.

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%, so the description must carry the parameter meaning; it does supply the format and an example ('交易日，e.g., 20200416'), which is genuine added value over the bare string type. However, it does not explain the default '20251027' present in the schema or what happens if date is omitted, leaving a real gap for a zero-coverage single parameter.

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 resource and scope: Dalian Commodity Exchange (大连商品交易所) daily trading data for a trading day, with the source URL. That is enough for an agent to distinguish it from the exchange-specific siblings get_cffex_daily, get_czce_daily, get_shfe_daily, get_gfex_daily and get_ine_daily, though it never names those alternatives explicitly.

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 statement of when to use this tool versus get_futures_daily or the other per-exchange daily tools, and no note about trading-day validity, holidays, or historical coverage limits. Usage must be inferred entirely from the exchange name in the title.

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