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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered without the description. The description adds the data source and the two operating modes, but says nothing about rate limits (only the _apiKey param hints at that) or result shape. With annotations carrying the weight, this is adequate but thin.

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 sentences, no filler, with the core capability front-loaded before the usage examples. It is slightly dense but every clause contributes to identifying the tool.

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, and the description never indicates what a response looks like (breed/count pairs, ordering, empty-result behavior). For a simple read-only counts query with four fully documented optional parameters the description is serviceable, but the return contract remains unspecified.

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%, so all four parameters including top, breed, zipcode and _apiKey are already documented at the schema level. The description restates the breed/zip usage via its examples but adds no format or syntax detail beyond what the schema provides, making the baseline 3 correct.

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 (licensed-dog counts by breed) and names the source dataset, plus the dual mode (per-breed counts vs. most common breeds overall). It is clearly about dogs in NYC, which distinguishes it from most siblings, though it never explicitly names nyc_dog_bites or nyc_search_animal to steer the agent away from those.

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?

Provides concrete invocation phrasings ("most popular dog breeds in NYC", "how many licensed [breed]s in [zip code]") that map directly onto the breed/zipcode parameters, giving the agent real context for when to reach for this tool. It lacks explicit when-not guidance or named alternatives among the sibling tools.

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