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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is covered elsewhere. The description adds nothing beyond that — no note on what the scale option changes, how percent vs 4.0 results differ, or whether unweighted/weighted output is returned.

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?

Three words are technically short, but this is under-specification rather than conciseness — there is no front-loaded purpose statement or any substantive content to structure.

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?

With two parameters including a nested course object, an enum whose meaning drives the interpretation of 'grade', and no output schema, the definition is far too thin. An agent knows nothing about the result format (numeric GPA vs percentage) or weighting behavior.

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 0%, so the description must carry the burden for the 'courses' array (objects with grade/credits) and the 'scale' enum, yet it explains neither. In particular, an agent cannot tell from the description whether 'grade' is a letter, a number on a 4.0 scale, or a percentage depending on 'scale'.

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 is 'Gpa calculator', which essentially restates the tool name and title. It implies a grade-point-average computation but names no verb, no input concept, and does nothing to distinguish it from sibling calculate_* / converters_college_cost tools.

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?

There is no when-to-use guidance, no mention of alternatives, and no exclusions. With dozens of calculate_* and converters_* siblings, an agent gets no signal about when this tool beats converters_college_cost or converters_student_loan.

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