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

The description discloses the key state-changing behavior beyond the annotations: it 'extracts text and stores it as a transcript'. This aligns with readOnlyHint=false and destructiveHint=false, and adds useful context about what happens when the tool is invoked. It does not discuss idempotency or failure modes, but the core behavioral trait is transparent.

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?

The description is a single sentence that front-loads the action and context, then states the purpose. Every clause earns its place: the GCS precondition, the extraction/storage behavior, and the downstream use. There is no extraneous 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?

For a tool with no output schema and three well-documented parameters, the description gives the essential operational context: when to call it, what it does, and why it matters. It could mention return behavior or error conditions if the GCS upload hasn't happened, but those are not critical for basic selection and invocation.

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 input schema already documents interviewId, fileName, and team_id thoroughly. The tool description adds no additional parameter-specific meaning, which is acceptable at the baseline given the schema's strong coverage.

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 names a specific verb ('Complete'), a specific resource ('team document capture'), and the concrete outcome ('extracts text and stores it as a transcript'). The phrase 'after uploading to GCS' clearly situates it in a two-step upload pipeline, and 'team' distinguishes it from sibling tools like completeClarityDocumentUpload and completeClarityOrganizationDocumentUpload.

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 a clear sequential context: use this after the file has been uploaded to GCS. It also signals downstream relevance by noting the transcript 'feeds Process Landscape generation'. It does not explicitly enumerate when-not-to-use or name alternative sibling tools, but the team-specific wording makes the intended context clear.

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