rv_from_stock_zh_a_hist_min_em

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds that data is cleaned and reformatted into Date/Open/High/Low/Close, but says nothing about rate limits, missing-data handling, or adjustment behavior.

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 purpose sentence is front-loaded and the param block is standard Python docstring structure, but an irrelevant example URL (quote.eastmoney.com/concept/sh603777...) is embedded as noise, and the type/param line pairs add 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?

For a 5-parameter tool with no output schema and 0% schema coverage, the description supplies parameter formats and the return shape (pandas.DataFrame with Date index plus Open/High/Low/Close), which is enough for correct invocation. It stops short of stating return granularity or adjustment effects.

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?

Schema description coverage is 0%, so the description carries the full burden and largely does so: it documents all five parameters, gives the datetime format 'YYYY-MM-DD HH:MM:SS', and enumerates period {'1','5','15','30','60'} and adjust {'','qfq','hfq'}. Only defaults shown in the schema are left unexplained.

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 states a specific verb+resource: fetching minute-level historical stock quotes from Eastmoney and cleaning/formatting them for yz realized-volatility computation. This scope distinguishes it from the raw siblings stock_zh_a_hist_min_em and the final volatility_yz_rv, though no sibling is named explicitly.

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?

Usage is only implied by the stated purpose (prepare data for yz RV). There is no explicit when-to-use, when-not-to-use, or named alternative to pick instead. An agent can infer the context but is not routed.

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