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

With annotations already covering read-only and idempotent behavior, the description adds useful context: data source (California DHCS via CHHS), keyless access, whole-list counting rather than paging, and a stated limitation (DHCS does not publish a per-record exclusion reason). It does not discuss rate limits or other operational constraints, but the added behavioral context is substantial.

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?

The description is long but front-loaded with the tool's core coverage scope and then moves to usage and count behavior. Every sentence carries information, though the long enumeration in the first sentence could be tightened for better readability.

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?

Given no output schema, the description thoroughly lists what the coverage response includes (total exclusions, NPI/license counts, provider types, date extremes, statutory basis, last-modified date) and explains the counting response behavior. Annotations cover safety, and the description fills in the remaining gaps needed to invoke and interpret the tool.

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 parameter meanings are already fully documented in the schema. The description mostly repeats those semantics and adds only the note that the response names the counted date field (suspended_since), which is a small increment beyond the structured data.

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's scope: California DHCS Medi-Cal S&I exclusion data coverage and freshness, plus count aggregations by year or date range. It is specific about what is returned, but does not explicitly name or differentiate from the sibling ca_medical_check_exclusion tool, leaving that distinction implicit rather than stated.

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 gives clear usage context: 'Use to check the screening data is fresh enough to rely on before a compliance decision' and explains how to switch to counting by year or date range. It does not name alternative tools or state when not to use this tool, so it falls short of full when/when-not guidance.

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