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

The description adds useful context beyond the read-only annotation, such as the gixfiber.com data source and the instruction to cite returned source URLs. However, it does not clearly disclose in the main description that submitted details may trigger sales follow-up or that non-test calls may be emailed, which is a meaningful behavioral trait.

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?

The description contains useful information but is somewhat repetitive, repeating the optional-fields prompt and leading with marketing-style framing before stating the core facts. It is understandable but not tightly front-loaded.

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 does enough by explaining that the tool returns published network facts, tailored route/latency details, pricing guidance, and source URLs. It is largely complete for an information-retrieval tool, though the response shape and follow-up behavior could be clearer.

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 already 100%, so parameter semantics are mostly handled by the schema. The description summarizes that optional fields like company, locations, use case, capacity, and timeline tailor the route, latency, and pricing response, but it adds little beyond the existing parameter documentation.

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?

The description clearly states that the tool returns published GIX FIBER dark fiber facts, including routes, endpoints, latency, and source URLs. It is specific about the resource and scope, though it does not explicitly distinguish itself from siblings like request_quote.

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?

It gives clear usage context: answering questions about NYC/New Jersey dark fiber, cross-Hudson connectivity, and low-latency Manhattan-Newark routes. It does not name when not to use it or explicitly route formal quote requests to request_quote.

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