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

Goes well beyond the annotations by disclosing the async job model, that PII masking is on by default, that the download URL is private and expires after 15 minutes, and that the export is retained seven days. It does not explain the idempotency_key reuse semantics or any permission/billing implications, and there is mild tension with idempotentHint=false alongside an idempotency_key param.

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?

Four short sentences, front-loaded with the action, then the privacy default, then the required follow-up step, then retention. Nothing is redundant and every sentence carries operational 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?

Return values are covered by the output schema, so omitting them is fine, and the async lifecycle plus expiry/retention is well covered. Missing only edge-case behavior, such as what happens when no saved report exists or when a job is already queued.

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?

With only 50% schema description coverage, the description partly compensates: 'masked by default' explains redact_pii and 'latest saved report' clarifies what study_id targets. idempotency_key and organization_id are covered by schema text but get no elaboration, leaving the guidance at a baseline-adequate level.

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?

States a specific verb and resource: queue an editable PowerPoint deck built from the latest saved report. This differentiates it from report-generation siblings in practice, and it names the companion polling tool get_report_slide_job, but it never explicitly contrasts with queue_research_deliverable or generate_report.

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?

Gives a clear operating context: this call only enqueues, so the agent must follow up by polling get_report_slide_job. There is no statement of when-not-to-use or which sibling to pick for a different export format, so it stops short of explicit alternatives.

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