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

Annotations already declare this as a safe, read-only, idempotent, non-destructive, closed-world calculation, so the safety profile is fully covered structurally. The description adds that it outputs a quantified loss figure derived from four hand-off dimensions, but says nothing about response shape, units, or assumptions. With annotations carrying the safety burden, a 3 is appropriate.

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?

Two sentences: the first front-loads the purpose and scope, the second is a promotional link. The core description is tight and well-ordered, though the URL line is marketing rather than functional guidance for an agent.

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 7-required-parameter calculator with no output schema, the description conveys the inputs' intent and the modeled outcome, but never indicates what the result actually contains (meetings lost, revenue lost, both, breakdowns). The scenario is covered but the computed output remains unspecified.

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%, and all seven parameters (including the four enums and three numerics) are individually documented, so the schema does the heavy lifting. The description names the four qualitative dimensions that map to the enum parameters but adds no ranges, units, or format guidance beyond the schema. Baseline 3 applies.

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 ('Quantify') and the exact resource/outcome ('meetings and revenue lost'), plus the failure mode it models (SDR-to-AE hand-off inconsistency) and the four contributing dimensions. It does not name or differentiate from close siblings like lead_routing_delay_cost_calculator or mql_to_sales_disconnect_analyzer, so it stops short of a 5.

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 usage context is implied by the framing ('when the SDR-to-AE hand-off is inconsistent'), which is enough to infer when to reach for it. However, there is no explicit when-to-use statement, no prerequisites, and no alternative siblings named for adjacent analyses, leaving the guidance implicit.

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