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DC Hub — Data Center & Energy Intelligence

Get Fiber Readiness

get_fiber_readiness
Read-onlyIdempotent

Assess parcel fiber-readiness: distance to carrier-served facilities, carrier count, and single-carrier risk. Yields a verdict from on-net to build-required for site selection.

Instructions

Use when you need the FIBER-READINESS / connectivity verdict for ONE parcel or site (lat/lon): near-net distance to a carrier-served facility, how many distinct fiber carriers are reachable, and whether there is single-carrier risk (no path diversity). This is the parcel connectivity answer engineering site-selectors screen on. Example: "Is this Loudoun County parcel fiber-ready and how many carriers can serve it?" — get_fiber_readiness lat=39.04 lon=-77.48 radius_km=50. Params: lat (-90..90, required), lon (-180..180, required), radius_km (search radius in km, default 50, range 5-200). Returns: {score 0-100 (null when not scored — see carrier_data_coverage), near_net_bucket ("on-net"|"near-net"|"acceptable"|"build-required"|"unknown"), nearest_carrier_km, carrier_count, top_carriers:[{carrier, distance_km}], single_carrier_risk (bool, null when not scored), fiber_coverage_km, verdict_short, carrier_data_coverage ("confirmed"|"none_in_region")}. IMPORTANT — "unknown" is NOT "bad": carrier presence comes from PeeringDB, which is global but thin outside dense US/EU metros, so DC Hub distinguishes "no carrier serves this point" from "PeeringDB does not describe this region". When carrier_data_coverage is "none_in_region" the bucket is "unknown", score/single_carrier_risk are null, and NOTHING about the site fiber has been measured — do not report it as greenfield, unserved, or a build-required site. Only carrier_data_coverage "confirmed" with carrier_count 0 means a fiber build is genuinely required. Do NOT use to map carrier ROUTES between metros (use get_fiber_intel) or for a full multi-factor site suitability score (use analyze_site).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoSite latitude in decimal degrees (-90 to 90, required), e.g. 39.04
lngNoAlias for lon — either name works
lonNoSite longitude in decimal degrees (-180 to 180, required), e.g. -77.48
latitudeNoAlias for lat — either name works
longitudeNoAlias for lon — either name works
radius_kmNoSearch radius in km for reachable fiber carriers (default 50, range 5-200)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
quotaNoCaller quota state (remaining calls, tier) when available.
_entityNoPayload class discriminator (e.g. facility|market|iso_grid|queue_results|deal|report|response) — branch on this before parsing the rest.
citationNoMachine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload. Normally an OBJECT {source, url, license, cite_as, retrieved_at}; a bare string is accepted and carries the attribution line itself.
provenanceNoCollection-level provenance block: {source, method, as_of, verification_counts, cite_url_template, license, cite_as}. Quote the verification level when citing.
_front_doorNoIn-band front-door hint (first workflow-entry tool of a session): call plan_query(intent) first for the ordered multi-step plan.
_return_loopNoSuggested next-session delta call (get_changes since=24h) so you pull only what changed.
site_evaluation_handoffNoPre-built follow-up calls (analyze_site / get_water_risk args) when the payload carries coordinates — an array of {tool, parameters, why} entries.
Install Server

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare read-only/idempotent, and the description adds substantial behavioral context beyond them: PeeringDB is global but thin outside dense US/EU metros, 'unknown' is not 'bad', and carrier_data_coverage determines whether score and single_carrier_risk are null. It explicitly warns not to report a 'none_in_region' site as greenfield, unserved, or build-required—information annotations cannot convey.

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

Conciseness4/5

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

Front-loaded with the core purpose and a concrete example; every sentence earns its place, including the counter-intuitive 'unknown' caveat and sibling exclusions. It is long, but the density of consequential detail—null semantics, coverage distinction, and bucket meanings—justifies the length.

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

Completeness5/5

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

Covers the full call context: what the tool returns, what each bucket means, when values are null, and when to use alternatives. Even with a rich output schema, the description adds interpretive semantics (e.g., 'unknown' vs 'confirmed', single-carrier risk) that the structured schema cannot express, so an agent has everything needed to call and interpret the result correctly.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds value by explicitly marking lat and lon as required even though the schema's required array is empty, and by tying radius_km to 'reachable fiber carriers' with default and range. It also gives a concrete example invocation with parameter values, reinforcing meaning beyond the schema.

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

Purpose5/5

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

States a specific verb and resource: 'get the FIBER-READINESS / connectivity verdict for ONE parcel or site (lat/lon)' with concrete outputs (near-net distance, carrier count, single-carrier risk). It also distinguishes itself from siblings by naming what it is not: route mapping and full multi-factor suitability.

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

Usage Guidelines5/5

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

Explicitly scopes usage: 'Use when you need the FIBER-READINESS / connectivity verdict for ONE parcel or site' and gives exclusions with named alternatives: 'Do NOT use to map carrier ROUTES between metros (use get_fiber_intel) or for a full multi-factor site suitability score (use analyze_site).' Also clarifies the critical 'unknown' vs 'no carrier' interpretation, which is essential for correct use.

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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