stock_a_all_pb

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

The annotations already declare this as read-only, idempotent, and non-destructive, so the description's job is to add behavioral context. It adds a source URL and says the return type is pandas.DataFrame, but it does not describe the data range, columns, or whether it's a time series. The return description contradicts the title (PE vs PB), which is a misleading behavioral claim.

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 the :return: line is redundant and erroneous, repeating a data type that conflicts with the title. The URL is useful, but the overall structure is marred by the inconsistency, preventing a higher score.

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 no-input data retrieval tool, the description should clearly state what is returned. It fails to specify whether this is historical or current data, the exact columns, or the unit. The mistaken return type (PE instead of PB) further reduces completeness, as an agent would receive misleading information.

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 accepts no parameters, so the baseline for parameter semantics is 4. The description does not confuse parameter usage, and since there are none, there is little to add. However, the incorrect return type mention is a minor detractor, but it doesn't affect parameter semantics.

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 begins with the tool's purpose: all A-share equal-weighted and median P/B ratios. However, the :return: line incorrectly states '市盈率' (P/E) instead of '市净率' (P/B), creating a contradiction that confuses the tool's actual output. The resource is clearly identified, but the inconsistency drops the clarity score.

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 for when to use this tool versus other stock-valuation tools like stock_market_pb_lg or index_pe_lg. The intended use is only implied by the name and first line, but there are no explicit scenarios or exclusions.

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