get_dce_daily

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

Annotations already declare safe read-only, idempotent behavior. The description adds the return type (pandas.DataFrame), the source URL, and clarifies that the data corresponds to a single trading day. It does not mention rate limits or edge cases, but the core behavior is transparent 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 a compact docstring with Chinese title, source URL, parameter/type, and return/type information. It is structured and each line contributes meaning without unnecessary verbosity.

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?

The tool is simple with only one parameter. The description specifies the return type and general content, which is sufficient given the lack of an output schema. It does not enumerate columns or discuss missing data, but the low complexity and clear return description make it adequately complete.

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 schema only provides a 'date' field with a default value and no description. The description compensates fully by explaining it is a trading day in YYYYMMDD format (e.g., 20200416) and specifying that the return contains per-variety market data for that date.

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 tool as Dalian Commodity Exchange daily trading data, provides the source URL, and states it returns per-variety market data for a specific trading date. It distinguishes this from sibling daily tools for other exchanges (e.g., get_cffex_daily, get_czce_daily) and from DCE-specific rank tools.

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 implies usage for retrieving DCE daily data by date, but it does not explicitly state when to use this tool versus alternatives or provide exclusions. Given the sibling list contains other exchange daily tools, the context makes the intended use clear, but no explicit guidance is offered.

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