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

Annotations already convey idempotency and non-destructiveness, and the description adds useful behavioral context beyond them: links are stable, evidence reports require admin sign-in to view, service acknowledgments file into the list thread, and SMS delivery is optional. Nothing here contradicts the annotations.

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 information-dense and front-loaded with the core action and output. The colon-delimited type list is readable, and every clause contributes meaning, though it is a single long paragraph and could theoretically be tightened without losing value.

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?

With no output schema, the description still tells the agent the outcome ('get its link') and covers the main decision points: choosing a report type, required IDs, service customization, and optional SMS delivery. It does not exhaustively describe all 9 parameters, but the high schema coverage compensates, and the core calling decision is fully supported.

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 high (89%), so the schema already documents most parameters. The description adds value by explaining what each report type semantically contains, clarifying that list_id vs project_id depends on type, and describing the purpose of service report branding and acknowledgment behavior beyond raw parameter names.

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 opens with a specific verb-resource pair: 'Mint a shareable report and get its link.' It then enumerates four distinct report types with concrete contents, making the tool's purpose unmistakable and differentiating it from sibling get/list report 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 context for when each report type is appropriate (completion, service, project, evidence) and states which ID each requires via the schema and prose. It does not explicitly name alternatives like tascan_get_report, but the 'Mint a shareable report' framing strongly implies generation rather than retrieval, and no exclusions are needed beyond the type prerequisites.

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