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

With no annotations, the description carries the full burden. It explicitly discloses that no execution happens, no credits are consumed, the quote is valid for 15 minutes, and an API key is required. This is strong behavioral transparency, though it doesn't mention rate limits or error behavior, which are not essential here.

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 reasonably concise, with each sentence adding value: it states the tool's purpose, the pricing behavior, the response fields, the non-execution guarantee, and auth requirements. It is front-loaded with the primary purpose and 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?

For a tool with 3 parameters, no output schema, and no annotations, the description covers the essential operational context: purpose, next step (execute_quote), safety constraints (no execution, no credits), and auth. It doesn't detail error handling or idempotency semantics, but the schema covers parameter-level details. Overall, an agent has enough to use 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 schema covers all three parameters with descriptions (100% coverage), so the description adds little beyond the schema. It does not explain the parameters further, only reiterating the high-level purpose. Baseline 3 is appropriate when the schema already documents the parameters.

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 requests a commercial quote for capability execution, distinguishing it from execute_quote. However, it does not explicitly differentiate it from the many specialized quote_* sibling tools (e.g., quote_air_quality_assessment), which may cause an agent to hesitate between the generic and specialized variants.

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?

It provides clear when-to-use guidance: request a quote before execution, then call execute_quote. But it does not mention alternative quote_* tools that might be more appropriate for specific capabilities, leaving the agent to infer the distinction on its own.

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