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

Annotations already declare the safe read-only profile, so the bar is lower; the description adds genuine context beyond them by disclosing the data-vintage concept and the critical caveat that check_code_pair/explain_ncci_edit see only pairs changed within the loaded quarterly window, not the full AMA-licence-gated baseline. It stops short of describing the response shape, but for a metadata tool the caveat disclosure is the valuable part.

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?

Contents are front-loaded in the first sentence and the usage/scope-limit guidance follows. The second sentence is dense with multiple clauses but each earns its place by naming the sibling tools and the licence-gated limitation; slightly long but not wasteful.

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 no parameters, no output schema, and annotations covering safety, the description fully carries the load it needs to: what data is reported, how current it is, and the scope limit it imposes on dependent tools. An agent can call it correctly and interpret the result without further information.

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 there is nothing for the description to disambiguate; baseline 4 applies. The description spends its space on output meaning instead, which is appropriate 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 description states a specific resource and enumerates exactly what it reports: fee-schedule years/quarters held, code counts per dataset, locality counts, and the PTP pair-edit change window. It also distinguishes itself from sibling tools by explaining the scope boundary it exposes for check_code_pair and explain_ncci_edit.

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?

It gives explicit when-to-use guidance ('check a vintage is current enough to quote before relying on a rate') and ties that to a concrete decision point. It also names the sibling tools whose behavior is constrained by the data it describes.

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