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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds no behavioral context beyond that, but it also does not contradict the annotations. The interesting behavioral nuance about team_id fallback and rejection lives in the schema, not the description, so no extra credit is warranted.

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?

A single front-loaded sentence with zero wasted words. It is appropriately terse for a simple list operation, though it is lean enough that some semantic context (what a Clarity interview is) is left to inference.

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?

For a simple paginated list tool with fully-documented optional parameters and annotations covering safety, the definition is largely sufficient. The main gaps are the absence of an output schema and a lack of clarification about the relationship between team-, organization-, and landscape-node interview listings, but these are minor for a straightforward read-only list operation.

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 the schema fully documents all three parameters. The description itself adds nothing about parameters, which matches the baseline of 3 when the schema does the heavy lifting. The team_id description is notably rich but counts as structured data, not description value.

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 and resource: 'List team-level Clarity interviews'. The 'team-level' qualifier distinguishes it from closely named siblings like listClarityOrganizationInterviews and listClarityLandscapeNodeInterviews, though it never explicitly names or contrasts them.

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 offers no guidance on when to use this tool versus its alternatives. It does not mention the related organization-level or landscape-node interview listing tools, nor any condition that would select one over another. The 'team-level' phrasing implies a scope but provides no actionable routing.

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