get_fixed_income_latest_quotes

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It clearly states what the tool returns (bid/ask prices, sizes, yield-to-maturity) and the required input format, which gives the agent an accurate mental model. It does not cover error handling or latency, but for a read-only quote retrieval this is sufficient.

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 two sentences, with the core purpose front-loaded in the first sentence and a concrete example and output details in the second. Every sentence adds value, with no redundant or filler content.

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?

Given the tool's simplicity and the existence of an output schema, the description sufficiently covers purpose, input requirements, and return content. It does not explain edge cases like invalid ISINs, but the combination of schema descriptions and output schema makes it complete enough for an agent to use the tool effectively.

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 input schema already fully describes both parameters (ising list and trade_size) with 100% coverage. The description reinforces the isins parameter with an example but adds no additional meaning for trade_size. Thus it merely meets the baseline without exceeding 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 the tool's function: returning latest quotes for fixed income securities. It specifically names the asset class (bonds, treasuries) and distinguishes it from sibling quote tools for stocks, crypto, and options. The verb 'Returns' is precise and actionable.

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 provides clear usage context by telling the agent to provide a comma-separated list of ISINs, including an example. It implies this is the tool for fixed income quotes. However, it does not explicitly state when not to use it or mention alternative tools, so it lacks explicit exclusions.

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