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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, covering the safety profile. The description adds value by disclosing the bounded scope of returned data (aggregate counts, metadata, previews) and explicitly stating it never returns individual clinical data, which is not captured in annotations. This enriches the agent's understanding of what to expect.

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 states the purpose and scope, the second enumerates contents and exclusions. Every phrase earns its place, and the primary intent is front-loaded. No filler or redundancy.

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?

Output schema exists, so return structure is already documented. The description explains what data is included and excluded, which is sufficient for a single-parameter tool. It lacks explicit error-handling or prerequisite conditions (e.g., what happens if clinicId is invalid), but given the simplicity and existing schema, this is a minor gap.

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 100%: clinicId is fully documented with type and pattern. The description adds the qualifier 'known', implying the clinic must exist, but this is minor and does not provide new syntax or constraints beyond the schema. Baseline 3 is appropriate when schema carries the load.

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 states a specific verb 'render' and a resource 'bounded administrative overview' for a known DodoDentist clinic, then enumerates the exact data components included and explicitly excludes clinical data. This clearly distinguishes it from siblings like get_clinic (full clinic details) and get_clinic_schedule_summary (schedule only), leaving no ambiguity about what the tool does.

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 implies a dashboard/summary use case by combining multiple aggregate data types, and the exclusion clause hints it is not for detailed record access. However, it does not explicitly name alternative tools or provide conditional guidance (e.g., 'use get_clinic for full details'), leaving the decision to the agent's inference.

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