fx_pair_quote

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive behavior. The description adds that the tool returns a pandas.DataFrame and specifies the exact source, which provides useful context about the data format and origin. No contradictions with 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 relatively short and front-loaded with the key product term '外币对即期报价'. The URL and return annotations add value without significant fluff. The hierarchical path includes some redundant navigation, but it's 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?

The description explains the return type (pandas.DataFrame) and source, but lacks detail about the actual data structure (columns, currency pairs, time dimensions). With no output schema, more specifics about the returned content would be helpful, though for a no-parameter read-only tool this is a minor gap.

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 the schema fully covers all inputs. The description doesn't need to explain parameters; the 0-parameter baseline of 4 applies, and no additional semantic gaps require compensation.

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 the tool returns 外币对即期报价 (foreign currency pair spot quotes) from the China Foreign Exchange Trade System, with a source URL and return type. This identifies the resource and output clearly, though it lacks an explicit verb and doesn't differentiate from close siblings like fx_spot_quote or forex_spot_em.

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 on when to use this tool vs. alternatives. Among many FX-related siblings (fx_spot_quote, fx_swap_quote, forex_spot_em, currency_latest), the description gives no selection criteria, exclusions, or context about the specific data source beyond the name.

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