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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds useful context by explaining the cohort-based nature (aggregated over provider customers) and that it surfaces typical misconfigurations, going beyond the generic 'read-only' annotation. No contradiction.

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, with the first sentence concisely stating the core purpose and the second giving precise usage guidance. Every word earns its place, and the structure is front-loaded with the action and outcome.

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?

The description covers purpose, usage, and parameter context adequately. However, with no output schema, it does not describe the return format (e.g., how benchmarks are presented or what 'full' vs 'compact' affects), which would be helpful for an agent setting expectations. Still, the description is largely complete for a read-only lookup tool with strong annotations.

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 all three parameters. The description adds a little contextual meaning (e.g., provider refers to an email or DNS service vendor) but does not materially improve understanding beyond the schema. Baseline 3 is appropriate.

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 clearly states the tool returns security benchmarks and common configuration issues for a specific provider cohort, with concrete examples (Google Workspace, Microsoft 365). It uses a specific verb ('Get') and resource, and effectively distinguishes from sibling check_* tools by focusing on provider-level insights rather than domain-level checks.

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?

Provides explicit when-to-use guidance: 'Use when asked how an email service provider compares to competitors on security posture, or to see typical misconfigurations for a named vendor's customers.' It does not mention when-not-to-use or alternatives, but the context is clear enough for an agent to select it appropriately.

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