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 genuinely useful context beyond that: the data source (Department of State's register) and freshness (refreshed daily), plus the analysis provider and the fact that the response is a bundle of aggregate metrics rather than records.

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, front-loaded with the return content and closed with the routing sentence. The long metric enumeration is dense but each item earns its place since there is no output schema to carry that information; only the attribution clause ("as analyzed by Cheap NY Publication") is arguably incidental.

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 parameters and no output schema, the description carries the full load and does so: it enumerates returned fields, gives data provenance, states refresh cadence, and states when to use it. An agent can call it and interpret the response without further information.

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?

The tool takes zero parameters, which is the baseline-4 case. The description correctly signals that no input is needed by framing the output as a fixed monthly statistics bundle, with no suggestion of filters that would require arguments.

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 (returns) and a specific derived resource (New York LLC formation statistics), then enumerates the exact metrics returned: latest-month count, year-over-year change, year-to-date, top counties, NYC share, and commercial registered agent share. This clearly separates it from sibling entity-lookup tools like lookup_new_york_llc or check_llc_name_availability.

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?

"Use for questions about how many LLCs are formed in New York, trends, or counties" gives clear affirmative usage context. It does not, however, name what this tool is NOT for or point the agent to lookup_new_york_llc for single-entity questions, so the routing is implied rather than explicit.

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