fx_spot_quote

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the source URL and return type (pandas.DataFrame) but no additional behavioral traits such as data freshness, coverage limits, or pagination behavior. It does not contradict annotations, but it provides minimal extra insight.

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 not optimally structured. It leads with a long Chinese navigation path, then a URL, and then a docstring-style return type. It could be condensed into a single clear sentence without the redundant path hierarchy, but it is not overly verbose.

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?

There is no output schema, so the description must fully explain the return value. It merely states that it returns a pandas.DataFrame of RMB FX spot quotes, but provides no details on columns, data frequency, or the set of currency pairs included. This leaves the agent uncertain about the exact nature of the data, especially compared to similar tools like fx_swap_quote.

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, and the schema is empty with 100% coverage vacuously. As per the rubric, the baseline for 0 parameters is 4, since there are no parameter semantics to explain beyond what the schema provides.

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 states that the tool returns 人民币外汇即期报价 (RMB foreign exchange spot quotes) from a specific source (China Foreign Exchange Trade System), which aligns with the tool name and distinguishes it from siblings like fx_swap_quote or forex_spot_em. However, it lacks an explicit verb like 'get' or 'fetch', and is phrased as a navigation path rather than a direct statement of functionality.

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?

There is no guidance on when to use this tool versus alternatives. The description only states what data is returned and provides a URL, but does not mention any conditions, exclusions, or comparisons to other FX tools in the sibling list, leaving the agent without decision-making support.

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