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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety and side-effect profile is covered. The description adds the useful sourcing/correctness contract ('sourced', 'independently verifiable') and the content exclusion set, but says nothing about freshness, coverage limits, or what a returned fact looks like, and no output schema exists to fill that gap.

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 tight sentences with zero filler, and the primary content promise is front-loaded ahead of the exclusion set. Slightly under-specified rather than verbose: the title advertises 'visit terms' while the description never mentions them, leaving a small scope gap.

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 zero parameters, rich annotations, and a simple read contract, the description is close to sufficient. But the title promises 'visit terms' that the description omits, and with no output schema the description is the only place to characterize the return payload, which it does only at a high level.

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?

The tool takes zero parameters, so the schema imposes no semantic burden and the baseline of 4 applies. There is no parameter ambiguity for the agent to resolve.

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 and resource pair ('Return sourced practice facts and ... public clinician credentials') and adds a negative scope that rules out ratings, endorsements, and personalized clinical claims. This helps separate it from sibling tools that may surface opinions or recommendations, but no sibling is named, so differentiation is inferential rather than explicit.

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 negative scope ('No ratings, endorsements or personalized clinical claims') serves as an implicit when-not guide, telling the agent this is not the tool for subjective or recommendation content. However, no alternative sibling is named (e.g., get_service_details, list_care_options) and no positive trigger for when this tool should be preferred is given, leaving selection largely to inference.

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