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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description's addition ('Returns ranked net costs and best option') duplicates information available in the output schema and adds little new behavioral context, so a mid score is appropriate.

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?

Four short, front-loaded sentences with no filler; purpose, use case, inputs and outputs are each stated once. The telegraphic fragments cost a little clarity but nothing is wasted.

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?

Annotations and a full output schema cover safety and return values, and the schema documents every parameter. The definition is still incomplete because its stated input shape conflicts with the real schema, leaving the agent to resolve the contradiction on its own.

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 coverage is 100%, so the baseline would be 3. However, the description states 'Inputs: list of {tuition, aid} pairs', which mischaracterizes the actual flat schema (a required scalar tuition plus three optional scholarship_n numbers). That mismatched input format can actively mislead an agent into supplying an array, so it scores below baseline.

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 gives a specific verb and resource ('Compare net tuition cost across multiple scholarships and aid packages') plus a scoping use case ('Use for college choice'). It distinguishes the tool from the surrounding field of generic calculators, though it never contrasts with a directly competing sibling, so a 4 rather than a 5.

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?

'Use for college choice' supplies a clear situational context, and the closing pointer to list_bundles routes agents toward the related education calculators. There are no explicit when-not-to-use conditions or named alternatives within the calculate_* family, so it falls short of 5.

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