spot_goods

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

With annotations already declaring safety (readOnly, idempotent, non-destructive), the description adds the data source URL and return type (pandas.DataFrame). It does not disclose whether the data is real-time or historical, or the DataFrame's structure, so behavioral transparency is minimal beyond the 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 a compact docstring with a source URL, parameter documentation, and return type. It is appropriately sized and front-loaded with the title and source, with no fluff.

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 is simple with one parameter, safe annotations, and no output schema. The description covers the source, allowed symbols, and return type, but lacks details on the DataFrame's columns and whether the data is current or historical, leaving some ambiguity for an agent.

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 schema has only a 'symbol' parameter with a default and no description, but the description explicitly lists the three valid Chinese symbol choices and the parameter type, providing essential semantic information for correct invocation.

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 as 'Sina Finance - Commodity Spot Price Index' and includes a source URL and return type, making it clear that the tool retrieves spot price index data. However, it lacks an explicit verb like 'fetch' and doesn't differentiate from sibling spot/futures tools, so it's clear but not fully distinguishing.

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?

The description does not mention when to use this tool over alternatives, nor does it state any exclusions. It implies usage through the allowed symbol choices, which narrows its scope, but no explicit guidance on selecting this tool vs others is provided.

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