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

With no annotations provided, the description carries the disclosure burden. It adds one behavioral trait: 'Missing inputs fall back to their documented defaults,' which is useful. However, it does not describe the output format, whether the operation is read-only, or any side effects, leaving significant behavior undisclosed.

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 two-part sentence: it names the action and resource, lists the core cost components, and states the fallback behavior. There is no redundant filler, and the most important information is front-loaded.

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 8 optional parameters are all documented in the schema, but with no output schema the description should clarify what the tool returns. The listed components likely represent output sections, but the absence of an explicit 'returns' or 'output' phrasing leaves room for ambiguity. Overall, it is adequate but not fully complete.

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?

Schema description coverage is 100%, so each of the 8 parameters already has a meaningful description and default value. The tool description adds no new parameter-level insight beyond confirming that missing inputs default, which is already evident from the schema defaults. Baseline 3 applies.

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 uses the specific verb 'Run' with the resource 'AI implementation cost model calculator' and lists the model's cost components (Data preparation; Integration; Change and training; Year one total). The verb 'Run' clearly contrasts with sibling tools like calculator_describe, making the tool's purpose unambiguous.

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 implies this tool is used to execute the cost model calculator, but it does not explicitly state when to use it versus calculator_describe or the enquiry/submit tools. There is no direct comparison or exclusion guidance, though the action-oriented wording offers a mild contextual cue.

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