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DC Hub — Data Center & Energy Intelligence

Plan Fiber Leadin

plan_fiber_leadin
Read-onlyIdempotent

Plan N diverse fiber lead-in routes from a data center to a carrier POP, providing per-route length, geometry, indicative cost, and corridor sharing metrics.

Instructions

Plan N diverse, road-following fibre lead-in routes from a candidate data-center site to a carrier hotel / POP, with indicative build cost and a route-diversity read. Answers "can I get N diverse fibre routes into this site, how far, how much, and where do they share a corridor?". Example: plan_fiber_leadin from="250 Paringa Road, Murarrie QLD" to="20 Wharf Street, Brisbane City QLD" n=4. Params: from (lat,lng OR street address), to (lat,lng OR address — e.g. a NextDC/Equinix POP), n (1-6 routes, default 4), fibre ("720F"|"1440F"), bore_m (river/rail bore length in metres, optional). Returns per-route length_km + GeoJSON geometry, total_route_km, diversity {min_separation_m_midhaul, shared_street_km}, and indicative cost {capex_usd, opex_usd_yr}. INDICATIVE auto-routed road corridors — NOT engineered alignments; subject to survey, DBYD and carrier confirmation. Do NOT use for a single site-suitability score (use analyze_site) or fibre-provider footprints (use get_fiber_intel).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoNumber of diverse routes to plan, 1-6 (default 4)
toYesDestination carrier hotel/POP as "lat,lng" OR an address, e.g. "20 Wharf Street, Brisbane City QLD"
fromYesOrigin site as "lat,lng" OR a street address, e.g. "250 Paringa Road, Murarrie QLD"
fibreNoFibre count spec for cost estimate: "720F" or "1440F"
bore_mNoRiver/rail bore length in metres to add to the route, 0-100000 (optional)

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

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds meaningful behavioral context by warning that results are 'INDICATIVE auto-routed road corridors — NOT engineered alignments; subject to survey, DBYD and carrier confirmation'. This discloses uncertainty and limitations beyond what annotations provide.

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?

The description is front-loaded with the core purpose, followed by the question it answers, an example, parameter summary, return summary, caveats, and exclusions. It is longer than necessary partly because the parameter recap overlaps with the schema, but every section adds either clarity, usage routing, or caveats, so the length is largely justified.

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?

Given the tool has an output schema and safety-relevant annotations, the description is complete: it provides an example, explains the core outputs, discloses the indicative nature of the results, and names the sibling alternatives to avoid. Nothing needed to invoke the tool correctly is missing, and the caveat about survey/DBYD/carrier confirmation adds important real-world context.

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 description coverage is 100% and the schema already documents all five parameters clearly, including formats, defaults, and ranges. The description's param recap largely duplicates the schema, though it adds the concrete from/to example and clarifies the relationship between fibre count and cost estimation. This meets the baseline for high schema coverage but does not substantially extend it.

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?

The description names a specific verb and resource: 'Plan N diverse, road-following fibre lead-in routes' from a candidate site to a carrier hotel/POP. It states the exact question it answers and explicitly distinguishes itself from nearby siblings by saying to use analyze_site and get_fiber_intel for other use cases. The example with concrete addresses further anchors the purpose.

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?

The description gives clear when-to-use context: answering 'can I get N diverse fibre routes into this site, how far, how much, and where do they share a corridor?'. It also names exclusions and alternatives explicitly: 'Do NOT use for a single site-suitability score (use analyze_site) or fibre-provider footprints (use get_fiber_intel)'. This routes an agent to the correct tool without ambiguity.

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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