stock_zh_a_spot

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

The description adds a critical behavioral warning not captured by annotations: repeated calls will lead to a temporary IP ban from Sina. It also specifies the return type as pandas.DataFrame, which is valuable since no output schema is provided. The annotations already mark the tool as read-only and idempotent, so this extra context meaningfully enhances transparency.

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 somewhat redundant: the ':return:' line repeats the same phrase as the first line. The URL is useful but not strictly necessary, and the structure mixes Chinese prose with docstring annotations. The IP warning is front-loaded, which is good, but the overall text could be more streamlined.

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, no-argument, read-only tool, the description adequately covers purpose, source, the critical IP warning, and return type. It lacks detail about the DataFrame's column structure or data format, but given the simplicity and existing annotations, it is sufficiently complete for an agent to invoke the tool correctly.

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 zero parameters, so schema description coverage is trivially 100%. There are no parameter semantics to explain, and the description appropriately focuses on return type instead. The baseline of 4 for zero-parameter tools applies, and the description meets it without needing additional detail.

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 clearly identifies the resource as real-time market data for all A-shares from Sina Finance, distinguishing it from similar tools like stock_zh_a_spot_em (East Money) and stock_zh_a_spot_tx (Tencent). However, it lacks an explicit verb (e.g., 'get' or 'return'), presenting the purpose as a noun phrase rather than an action.

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 sibling alternatives, such as preferring East Money or Tencent sources. The warning about IP blocking from repeated runs is a caution but not a tool-selection guideline, and there are no stated exclusions or prerequisites.

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