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Plan Query

plan_query
Read-onlyIdempotent

Inspect a query plan without executing it. Review, audit, or diff the deterministic plan for a multi-step data center intelligence query.

Instructions

INSPECT-ONLY — returns the plan WITHOUT running it. For a real multi-step DC Hub question call execute_plan(intent="...") instead: it uses the SAME deterministic no-LLM planner and then RUNS the sequence server-side, returning the answers in one envelope. Reach for plan_query only to review, log, diff or audit a plan before executing it yourself. Deterministic keyword routing over the tool registry — no LLM, no network, same intent always returns the same plan (free). Returns _entity=query_plan {best_tool, intent_confidence + workflow_confidence (dual 0-1: question-read vs executability), reason, planner_rationale, recommended_sequence:[{step, tool, depends_on, estimated_calls, why, args_hint}], execution_waves (steps grouped into concurrency waves), execution_strategy.parallel_groups, execution_estimate {estimated_calls, estimated_latency_ms, parallelizable}, alternatives (each with when + rejected_because), coverage_notes, matched_classes} plus a versioned replay (schema_version 1): planner_version, decisions:[{id, step, kind, status, decision, rationale, decision_confidence, depends_on}], rejected:[{id, tool, reason}], execution_graph:{waves, parallel_groups} — auditable and machine-readable, safe to log and diff across versions. args_hint values in come from the named earlier step — substitute them, never invent them. Pass structured hints via context (lat/lon, iso, market, capacity_mw, candidate_id, state, since) to sharpen the plan. For a family-level browse use discover_tools. This tool plans — it never executes; tools/list stays canonical for schemas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
intentYesNatural-language description of what you are trying to find out, e.g. "rank markets for a 200MW AI campus" or "how much power is available in ERCOT"
contextNoOptional structured hints: {lat, lon, iso, market, capacity_mw, candidate_id, state (2-letter), since} — sharpens args_hint values and routing (e.g. lat/lon boosts the site-analysis route)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNotrue when the intent was routed
noteNoRouter disclaimer — deterministic keyword routing, tools/list stays canonical
quotaNoCaller quota state (remaining calls, tier) when available.
intentNoThe natural-language intent that was routed (echoed back)
reasonNoWhy the router chose best_tool — the matched keywords / context signals
replayYes
_entityNoPayload class discriminator (e.g. facility|market|iso_grid|queue_results|deal|report|response) — branch on this before parsing the rest.
chainingNoZero-drift chaining guidance (candidate_id contract) when the plan crosses get_refined_queue → analyze_site / rank_sites
citationNoMachine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload.
best_toolNoThe single best first tool to call for this intent (exact name from tools/list)
confidenceNoDeterministic router confidence, 0-1 — same intent always yields the same score; low values mean the intent was ambiguous (check alternatives). Alias of intent_confidence (v1 back-compat).
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.
alternativesNoAdjacent tools for nearby intents, including runner-up intent classes
intent_classNoThe matched intent class (market_ranking | capacity_search | market_comparison | grid_headroom | interconnection_queue | hosting_capacity | water_climate | site_analysis | deals_ma | fiber_power_pairing | fiber | price | incentives_tax | changes_delta | facility_search | unknown)
coverage_notesNoTier/coverage caveats for the recommended tools (free-tier previews, depth gates, honest-unknown semantics)
parallelizableNotrue when at least one execution wave holds 2+ steps — the plan is not purely sequential
estimated_callsNoTotal estimated API calls for the whole plan (sum of per-step estimates)
execution_wavesNoThe execution graph as concurrency waves: array of arrays of step numbers; every step in a wave can run concurrently once earlier waves finish (derived from depends_on)
matched_classesNoEvery intent class that scored, with its score — the router's full deterministic trace
intent_confidenceNoHow confident the router is that it read the QUESTION right (0-1, deterministic) — driven by keyword score + margin over the runner-up class
planner_rationaleNoOne sentence on why the PLAN has this shape (ordering / parallelism / what mints what) — distinct from reason, which covers intent routing
execution_estimateNor-planner-v3 deterministic cost preview: {estimated_calls (plan NODE count — one per step; the top-level estimated_calls is the fan-out-weighted API-call total), estimated_latency_ms (sum over waves of the SLOWEST tool in each wave, from a static 3-tier table: heavy synthesis 3000ms / standard read 1200ms / light free read 500ms), parallelizable (any wave holds 2+ steps)}
execution_strategyNor-planner-v3 explicit strategy: {parallel_groups: string[][] — execution_waves rendered as TOOL-NAME arrays (e.g. [["get_grid_intelligence","get_interconnection_queue","get_refined_queue"]]), note: plan-only disclaimer — this tool only plans; execute the sequence yourself}
workflow_confidenceNoHow confident the router is that the plan can EXECUTE cleanly with the signals in hand (0-1, deterministic) — boosted by resolved context signals, docked for placeholder args the user must still supply; step-minted placeholders don't dock
recommended_sequenceNoOrdered tool sequence mirroring the DC Hub recipe for the matched intent class
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.
workflow_confidence_basisNoThe arithmetic behind workflow_confidence: {resolved_signals, minted_placeholders, user_supplied_placeholders}
Behavior5/5

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

Beyond annotations (readOnly, idempotent, non-destructive), the description adds deterministic keyword routing, no LLM, no network, free, and never executes. This enriches the agent's understanding of behavior.

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 dense but front-loaded with the key purpose. Although lengthy, every sentence adds value. Some redundancy could be trimmed, but overall well-structured.

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's complexity, presence of output schema, and need to coordinate with execute_plan, the description fully covers purpose, usage, parameters, output structure, and constraints. Nothing missing.

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 baseline 3. The description adds value by explaining intent as natural-language description and providing example hints for context, plus guidance on args_hint substitution. This justifies 4.

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 clearly states it returns the plan without executing, using 'INSPECT-ONLY' and contrasting with execute_plan. The verb 'plan query' and resource 'plan' are specific, and sibling distinction is explicit.

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 explicitly says when to use (review, log, diff, audit) and when not (use execute_plan for real execution). It also mentions discover_tools for browsing. This provides clear usage guidance.

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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