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

With no annotations, the description carries the behavioral disclosure burden. It discloses what the tool returns, the basis of the recommendations, and the presence of a consultation booking link. It clearly frames the operation as non-mutating ('Returns'/'Provides'), which is sufficient for this read-only recommendation tool, while not covering potential edge-case behavior.

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 short sentences, front-loaded with the tool's primary behavior, followed by usage timing and output details. Every sentence contributes useful information and there is no fluff.

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 tool is simple: three documented parameters, no output schema, and no nested objects. The description provides the purpose, when to invoke it, what it returns, and the functions an agent may need to surface. Nothing critical is missing for correct invocation and response handling.

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 input schema documents all three parameters with descriptions, so schema coverage is 100%. The description adds some relational meaning by noting 'score and/or score band' and mapping actions to gap categories, but it does not need to compensate for schema gaps. This addition is helpful but minor, 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?

The description states a specific verb ('Returns personalized next-step recommendations') and a clear resource ('next-step recommendations based on a score and/or score band'). It also distinguishes the tool from siblings by identifying when it is relevant: after presenting assessment results or when the user asks what to do next, which separates it from assessment-running and readiness-info 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?

The description gives clear usage context: call it after presenting assessment results or when the user asks what to do next. It implies it should follow an assessment and not be used instead of one, though it does not explicitly name sibling alternatives or exclusions.

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