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

Annotations already establish readOnly/idempotent/closed-world/non-destructive, so the description correctly focuses on what annotations can't say: the content is drawn from 'authoritative patient references,' is 'general education with practice review pending,' and must not be treated as diagnosis or as this office's actual protocols or prices. That is genuinely useful framing for how the agent should present results. It does not discuss latency, pagination, or caching, but those are minor here.

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?

Purpose is front-loaded in the first clause, followed by content scope, then constraints — a sensible order. The negation list is dense but each item blocks a distinct misuse; the privacy sentence is short and load-bearing. Slight redundancy between 'general education' and the long 'does not...' clause.

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 an output schema present, return format needn't be described, and annotations cover the safety profile. What remains thin is the practice_id parameter and the meaning of 'practice review pending' in relation to it. An agent can otherwise call this correctly from the description alone.

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 0%, so the description must carry the burden. It explains that a service may optionally be selected (and 'any' plus the enum make the choices self-evident), but it never explains why a required practice_id matters for general education content — presumably practice-scoped review status. Enum values do most of the defining work here.

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 opening clause gives a specific verb ('Explain') and resource ('a listed dental service') and enumerates the exact content returned: general purpose, steps, risks, limitations, follow-up. The negative clause ('does not assess symptoms, diagnose, determine suitability, prescribe, or establish protocols or prices') draws a sharp boundary against sibling tools like get_insurance_information or a symptom-assessment service.

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?

'Optionally select one service' tells the agent how the optional parameter selects scope, and the exclusion list makes clear when this tool is the wrong choice (clinical assessment, pricing, office protocols). It stops short of naming which sibling to call instead, leaving the agent to infer the routing.

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