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

Annotations already declare read-only, non-destructive, closed-world behavior, so safety is covered. The description adds real behavioral detail beyond them: prefix matching against Census data, and a capped, size-ordered result set ('up to 8, largest first').

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?

Four terse clauses, all front-loaded: purpose, matching rule, input format, result contract. Nothing is padded or redundant.

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, the description usefully discloses the result count and ordering, which is the key contract for a search tool. It stops short of describing returned fields (name, state, population), a minor 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?

Schema coverage is 0%, so the description carries the burden, and it does explain the accepted value shapes ('City' or 'City, ST'). It omits that the string is bounded to 2-60 characters, but the schema enforces that constraint directly.

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 specific verb and resource ('Look up US places by name') plus the matching mechanism ('Prefix match on US Census places'), which precisely distinguishes it from every event-oriented sibling. An agent knows immediately this is a geocoding/location resolver, not an event tool.

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 parenthetical 'for location search' and the accepted input formats give clear context for when to reach for this tool. There is no explicit when-not or named alternative, but no sibling competes for the same job, so the routing risk is minimal.

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