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

No annotations exist, so the description carries the full burden. It does disclose one useful behavioral trait — that results include frequency by incident type, not just a flat list — and the 'PRO' prefix hints at a gated/subscriber-tier tool. However, it says nothing about rate limits, pagination, return size, or what happens when no declarations match.

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 compact sentences with the resource and scope front-loaded, and the county format example placed inline where it's needed. The lone 'PRO.' token is cryptic but inexpensive.

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 output schema and no annotations on a four-parameter tool, the description should do more. It covers the core query semantics and hints at the return shape (frequency by incident type), but omits auth expectations, error/no-result behavior, and any sense of result volume.

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 coverage is only 25% (only access_token is documented), so the description must compensate. It partially does: it gives a concrete county format hint ('Harris (County)') and explains that since_year bounds the historical window. State is self-explanatory, but the description doesn't clarify since_year's default behavior or whether the access_token is mandatory for every call.

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 a specific verb and resource: FEMA declarations for a county in a state since a given year, plus incident-type frequency. This is concrete enough for an agent to know what it returns, though it never distinguishes itself from siblings new_declarations or recent_disasters, so the agent must infer the boundary.

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?

No explicit when-to-use guidance and no mention of alternatives. The phrase 'since a year' and the county focus vaguely imply historical, aggregated analysis rather than recent events, but nothing tells the agent when to pick this over new_declarations or recent_disasters.

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