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

No annotations are supplied, so the description carries the full behavioral burden. The phrase 'with excluded states' hints that some states are filtered out of the counts, which is genuinely useful, but it never explains the exclusion criterion, whether excluded states are returned as a separate list, or what the response shape is.

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?

It is a single short phrase with no wasted words, but it is under-specified rather than concise — the brevity comes at the cost of clarity about what is being counted and returned.

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 annotations, no output schema, and no parameters, the description is the only source of information about this tool, and it does not describe the return structure (per-state counts, how excluded states appear) or the dataset being counted. For a zero-parameter reporting tool, that leaves the agent guessing.

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; the baseline of 4 applies. The description does not need to compensate for any schema gap.

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 names the resource (states) and the payload (row and county counts), so an agent can infer it returns per-state aggregates. But it lacks a verb and never says whether this is a listing, a summary, or a coverage report, and 'Row' is undefined — rows of what dataset? It is distinguishable from list_counties only by the word 'state'.

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?

There is no when-to-use guidance, no mention of when to prefer list_counties or search_records instead, and no stated prerequisites. The agent must guess the tool's role from the name alone.

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