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

Annotations cover readOnly=false, idempotent=true, destructive=false, so safety is largely declared. The description adds genuinely new operational context: it overwrites a prior result for that framework, costs 1 unit, and returns plain-language output. There is mild tension between 'overwrites an earlier result' and destructiveHint=false, but overwriting one's own saved result for a framework is consistent with idempotentHint=true and not a true contradiction.

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 tight sentences, front-loaded with the core action and effect, followed by return format and cost. No filler; every clause carries information.

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?

An output schema exists, so return values needn't be explained, and the description still notes plain-language results. It covers workflow origin, overwrite behavior, and billing cost. The one gap is no guidance on personal_consent, which the schema documents but the description never reinforces for a write that saves personal data.

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 75%, so the schema already documents answers, framework, context, and personal_consent. The description adds little parameter-level detail beyond implying the framework key ('for that framework'); it never mentions the consent or context parameters, so baseline 3 is appropriate.

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?

Specific verb pair (score + save) and a precisely named resource (answers collected via start_assessment), with the effect on the user's profile stated. It clearly distinguishes itself from its sibling start_assessment by describing what happens to that tool's output.

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 establishes the prerequisite and sequence explicitly: it scores 'answers collected via start_assessment' and ties the framework key back to that call. It gives clear context but no explicit exclusions or 'use X instead' branching, so it stops short of a 5.

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