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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds real value by disclosing the returned fields and the fact that the dataset is limited to two focus areas despite US-wide service, which tells the agent to expect a small fixed result set.

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 short sentences with the substantive content front-loaded; the second sentence is mildly tangential context about US-wide service. No filler or redundancy.

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?

There is no output schema, so the description correctly carries the burden of describing returns and does so by listing the fields. It omits ordering and whether the list is exhaustive/paginated, which is a minor gap for a small fixed list.

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% and the single 'state' parameter is fully documented with an enum in the schema. The description only tangentially supports it by naming New Jersey and New York City, so the baseline 3 is appropriate.

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 ('List the places Vocenya has local pages for') and enumerates the returned content (type, state, area codes, page URL). The resource is unambiguous against siblings like get_article or search_industries, though it never explicitly contrasts itself with them.

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?

Usage is implied by the tool name and the fact that the scope is confined to NJ and NYC, but there is no explicit when-to-use or when-not-to-use guidance, nor any mention of alternatives. Adequate but leaves the agent to infer intent.

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