macro_euro_lme_holding

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

Annotations already declare read-only, idempotent, open-world, and non-destructive behavior. The description adds useful context beyond annotations: the data source URLs, the historical coverage start date, and the return type (pandas.DataFrame). It does not cover authentication or rate limits, but for a simple data-retrieval tool this is solid.

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 and date range are front-loaded, but the description includes two raw URLs that add clutter without helping an agent decide how to invoke the tool. It is not excessive in length, but not maximally concise either.

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 no input parameters, rich annotations, and no output schema, the description is nearly complete for invocation: it names the dataset, date range, source, and return type. It lacks detail on returned columns, but without an output schema that is a minor gap for a simple data retrieval tool.

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 takes zero parameters, so parameter semantics are not applicable; the baseline for zero-parameter tools is 4. No additional parameter meaning is needed.

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?

States a specific resource: London Metal Exchange (LME) holdings report, with a clear date coverage range. It is distinguishable from the sibling macro_euro_lme_stock by the word '持仓' versus stock, though the description does not explicitly contrast them.

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?

Provides a temporal scope ('20151022-至今') but gives no explicit guidance on when to use this tool versus alternatives such as macro_euro_lme_stock or other LME-related tools. Usage is only implied by the report name.

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