macro_usa_cpi_monthly

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is fully covered by structured data. The description adds the historical start date (1970) and the pandas.DataFrame return type, which is useful context but not deep behavioral detail such as update frequency or revision policy.

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 core statement is front-loaded and short, but it carries Sphinx docstring residue (':return:', ':rtype: pandas.DataFrame') and a raw source URL that add little for an agent selecting a tool. Every element is harmless but not all of them earn their place.

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?

For a zero-parameter, read-only macro series with no output schema, the description covers what the data is and how far back it goes, which is roughly adequate. It omits update frequency, whether values are MoM percentages, and column structure of the returned DataFrame, leaving some gaps an agent would want.

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 there are no parameter semantics to explain and the description cannot be faulted for omitting them. Baseline for a parameterless tool is 4.

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 (美国 CPI 月率报告) and even the data coverage window (19700101-至今), which is more than a bare restatement of the name. It does not, however, distinguish itself from near-identical siblings such as macro_usa_cpi_yoy or macro_usa_core_cpi_monthly, so the agent must infer the difference from the name alone.

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 when-to-use guidance, no mention of alternatives (e.g. the YoY or Core CPI variants that crowd the sibling list), and no stated prerequisites or update cadence. The agent is left to infer applicability entirely from the tool name.

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