macro_cons_silver

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, so the description doesn't need to restate those. It adds the source URL, return type, and data range, which is useful context beyond the schema. However, it doesn't disclose potential pitfalls like rate limits or response structure variation, so it provides only minimal additional behavioral insight.

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 compact, consisting of a clear main statement, a source URL, and docstring-style return info. Each line adds value, though the structure is slightly awkward due to the embedded docstring syntax. It's concise and front-loaded with the core purpose.

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 zero-parameter, no-output-schema context, the description covers the source, data range, and return type. However, it doesn't specify the columns or granularity of the holdings report (e.g., daily records, fields like date and holding amount). This is a notable gap for an agent deciding whether the output meets its needs, so a 3 is warranted.

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, so the baseline is 4. The description doesn't need to explain parameters, and it doesn't attempt to add any. The empty schema is consistent with this.

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 states the tool returns a holdings report (持仓报告) for the world's largest silver ETF, with a specific data range (20041118-present) and return type (pandas.DataFrame). It identifies the resource and purpose, though it doesn't contrast with sibling tools like macro_cons_gold. There is a minor inconsistency (SPDR Gold Trust is actually a gold ETF, not silver), but the intent is still clear.

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?

Usage is implied: the tool is for retrieving silver ETF holding reports. The description provides the data source and date range, giving context for when it might be used, but it offers no explicit guidance on alternatives or exclusions. Since the name and description make the use case obvious, a score of 3 is appropriate.

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