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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds the useful behavioral note that this is a scope/guardrail lookup for downstream queries, but says nothing about rate limits, freshness, or how values are ordered or returned.

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?

One sentence, front-loaded with the verb and the enumerated resources, ending with the purpose. No filler.

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?

For a zero-parameter read-only lookup with annotations covering safety and no output schema, the description supplies enough to call it correctly. Slightly more detail on what the returned lists look like (or its relationship to get_data_catalog) would close the remaining 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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline is 4. The description correctly implies no input is needed to enumerate the available dimension values.

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 clear verb (List) and enumerates the exact resources returned: EOI months, visas, states and statuses. An agent immediately knows this is a dimension-value discovery tool. It does not distinguish itself from the potentially overlapping sibling get_data_catalog, which keeps it short of a 5.

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?

"so another query can stay within published scope" tells the agent to call this before issuing a filtered query to obtain valid values. That is clear usage context, but no explicit exclusions or named alternatives (e.g. vs get_data_catalog) are given.

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