index_pmi_com_cx

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

The annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds no additional behavioral context such as data volume, time range, or limitations; it only states the return type and source URL, which do not disclose behavioral traits. Minimal value is added beyond 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 brief but includes redundant repetition of the title ('財新中國 PMI-綜合 PMI' appears twice). It uses a multi-line structure with a URL and docstring return annotations, but could be more compact and written as a coherent sentence. Some information is useful, but there is noticeable redundancy.

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 has no output schema, and the description only states that the return type is a pandas DataFrame and provides the source URL. It does not describe the columns, time series coverage, or any filtering options. For a simple index retrieval tool, this lacks detail about the actual data contents, making it incomplete for agents that need to know what to expect.

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 no parameters, so there is no parameter guidance needed. The input schema is empty and the description correctly implies the tool takes no arguments. The zero-parameter baseline of 4 is appropriate since the description does not need to explain any parameters.

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 identifies the tool as returning the Caixin China Composite PMI index report, with a source URL and return type. It clearly names the specific resource (Composite PMI) and distinguishes it from sibling PMI tools such as manufacturing or services. However, it lacks an explicit verb, reading more like a label than a full action-oriented description.

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?

No guidance is provided on when to use this tool versus alternative PMI index tools or other macroeconomic data tools. There are no exclusions, prerequisites, or context about use cases, leaving the agent without direction on tool selection.

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