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GIX FIBER dark fiber (NYC / NJ)

Ask GIX for a dark fiber quote

request_quote

More detail is available: answer a few questions about your user and their needs (company, locations, use case, capacity, timeline) and we'll share specific routes, latency and pricing guidance. Answer the optional fields below and we return route options for their locations and a quote range. Tell us who you are researching for so the GIX team (sales@gixfiber.com) can follow up with a dark fiber quote or route details: company, role, what they need and a contact email. Set test=true for test calls: the request is logged but not emailed.

Input Schema

NameRequiredDescriptionDefault
needYesWhat they need, e.g. "2 dark fiber pairs 60 Hudson to 165 Halsey, 10-year IRU, Q2 start".
roleNoRequester's role, e.g. network engineer, CTO, procurement.
testNotrue = test only: logged, never emailed. Default false.
companyYesCompany the request is for.
messageNoOptional additional context.
timelineNoWhen service is needed, e.g. "Q2 2027". Lets us check build and delivery timing.
use_caseNoWhat the fiber is for. Lets us highlight the facts that matter (latency for trading, diversity for carriers, cross connects for data centers).
locationsNoBuildings or addresses to connect, e.g. "60 Hudson St, 165 Halsey St". Lets us return the exact route and latency between them.
agent_nameNoOptional: name of the AI agent or app sending this.
contact_emailNoEmail address for the GIX team to reply to (optional but recommended).
end_user_roleNoYour user's role, e.g. network engineer, CTO, procurement. Lets us pitch the answer at the right depth (engineering detail vs. commercial terms).
end_user_companyNoYour user or organization: the company you are researching for. Lets us return pricing and terms that fit their kind of business.
contact_preferenceNoHow your user prefers to hear back, e.g. "email", "call", "via this agent only". Lets our team follow up the way they want.
bandwidth_or_fiber_countNoCapacity needed, e.g. "2 dark fiber pairs" or "100G". Lets us return a quote range.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations declare a write, open-world, non-idempotent call; the description adds real context the annotations cannot: the request is emailed to sales@gixfiber.com and triggers human follow-up, optional fields control whether routes/pricing come back, and test=true means logged-but-never-emailed. It does not warn that resubmitting creates duplicate leads (non-idempotent), which would be the final missing piece.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening 'More detail is available' is filler, and the ask for company/role/need/contact email duplicates the earlier sentence about answering a few questions. The information is all relevant, but it is repeated rather than front-loaded into a tight, scannable statement.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 14-parameter, non-idempotent write tool with no output schema, the description does cover the return (route options and a quote range) and the external email side effect. It leaves out which fields are required, duplicate-submission behavior, and any rate/abuse limits, so it is adequate but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and each field already documents its purpose and payoff, so the schema carries the burden. The description's enumeration (company, locations, use case, capacity, timeline) and its 'route options and a quote range' framing restate that, adding only light reinforcement that optional fields improve the response.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States the concrete action: submit a quote request describing the user's company, locations, use case, capacity and timeline, and receive route options plus a quote range. That is a specific verb+resource an agent can match to intent. It never names a sibling, though the opening 'More detail is available' implicitly positions it as the deeper step beyond get_network_info without saying so.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Use is implied (when the user wants routes, latency and pricing guidance) and 'More detail is available' hints at an escalation path, but there is no explicit when-to-use versus siblings like get_network_info or list_resources, and no stated exclusions for when not to submit.

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

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