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

Annotations already declare readOnly, idempotent, openWorld, and non-destructive, so the safety profile is covered. The description adds useful context: the data source (NYC Dog Licensing Dataset) and that results are license records, plus partial-match behavior. It does not mention pagination, rate limits, or the token behavior covered only by the _apiKey schema param.

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 tight sentences with zero filler; the lookup scope is front-loaded and the return source is stated second. Every clause earns its place.

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?

For a simple read tool with full schema coverage and complete annotations, the description covers the operation and names the return content even without an output schema. Minor gap: no note on result ordering or paging beyond the limit param.

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 the baseline is 3. The description restates the name partial-match and ZIP scoping already documented in the schema, and adds nothing about limit or _apiKey, so it does not meaningfully exceed what structured fields provide.

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 ("Look up"), resource ("licensed NYC dog"), and matching mode (name partial match, optional ZIP scope), so the purpose is unambiguous. However it does not distinguish itself from close siblings like nyc_dog_licences_by_breed or nyc_dog_bites, leaving the agent to infer which NYC dog tool fits a name-based query.

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 input condition (you must know a dog name, partial match) is implied and clear, and the ZIP filter is noted as optional. But there is no explicit when-to-use versus alternatives guidance, and no mention of the sibling breed-based or bite tools, so routing depends on inference.

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