macro_usa_gdp_monthly

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds useful context by specifying the data range and source URL, but does not disclose any additional behavioral traits such as column structure, update frequency, or potential limitations. This is adequate given the strong annotation coverage.

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 (about 3 short lines) and includes essential information: title, data range, URL, return type. While the structure is a bit fragmented with docstring-style :return: and :rtype:, every element adds value and no unnecessary filler is present.

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 tool's simplicity (no parameters, no output schema), the description is sufficiently complete. It specifies the data source, availability period, and return type as a pandas DataFrame. For a straightforward data retrieval tool, this covers the key information an agent needs for selection and invocation.

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 schema coverage is trivially 100%. The baseline for 0-parameter tools is 4, and the description does not need to add parameter semantics. The description appropriately focuses on the output and source.

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 a Jin10 Data US GDP report, specifies the data range (20080228 to present), and provides a source URL. The resource (US GDP) is specific and unambiguous, distinguishing it from sibling tools like macro_usa_cpi or macro_china_gdp without any confusion.

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 only states what the tool returns, not when to use it relative to other macro economic tools. There is no mention of alternatives, prerequisites, or exclusion conditions. An agent must infer usage solely from the tool name and general context.

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