macro_usa_services_pmi

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is well covered. The description adds useful context: data range, source URL, and return type (pandas.DataFrame). It does not contradict annotations, but it adds little beyond those basics—no mention of update frequency, columns, or units. This is acceptable for a zero-param read-only tool, though richer behavioral detail would help.

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 (three lines), but the title string '美国Markit服务业PMI初值报告' is repeated verbatim in the :return: field, which is redundant waste. The URL and :rtype: are useful additions. It is appropriately short but could be tightened by removing the duplication and structuring the info more deliberately.

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 simple zero-parameter read-only macro data tool, the description covers the essential what, source, and date range. However, there is no output schema, so the description carries the burden of explaining return values; it only states the return type (pandas.DataFrame) and repeats the report name without detailing columns, index, or value units. This is minimally viable but leaves the agent guessing about the actual data structure.

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 0 parameters, so per the rubric the baseline is 4. The input schema is an empty object with 100% coverage, and the description introduces no parameter information since there are none to document. Nothing more is needed here.

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 resource precisely: US Markit Services PMI preliminary (flash) report, with a clear date range (20120701-present) and source URL. It distinguishes from similar siblings like macro_usa_pmi (ISM manufacturing) and macro_usa_ism_non_pmi (ISM services) by specifying 'Markit' and '服务业' (services). However, it lacks an explicit action verb like '获取' (fetch/retrieve), relying on the :return: docstring to imply data retrieval.

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 alternatives such as macro_usa_pmi, macro_usa_ism_non_pmi, or macro_euro_services_pmi. The date range is a factual constraint, not usage guidance, and no exclusions or alternative recommendations are given. With several closely related macro PMI siblings, this absence of differentiation guidance is a real gap.

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