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azmartone67

DC Hub — Data Center & Energy Intelligence

Deal Autopsy

deal_autopsy
Read-onlyIdempotent

Analyze recent data-center M&A deals with DCPI grid-reality verdicts, uncovering whether each market is viable and the real play behind the acquisition.

Instructions

Tracked data-center M&A / capex deal flow with the DCPI grid-reality verdict overlaid on each deal market — "what is the real play?". Returns recent deals (buyer, seller, value, market) + each market DCPI verdict and time-to-power; with a paid key, the per-deal autopsy read (long-dated land/power option vs near-term build vs queue gamble). Progressive disclosure to keep the default cheap: by default each read ships only a comparables COUNT (the verdict text is always included); pass comparables="summary" for the top-2 grounding signals, or comparables="full" to expand the complete cited set for a deal you're drilling into. Answers "who is actually buying data centers right now, and are those markets any good", "what is the real play behind this deal". Try: deal_autopsy limit=15.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of recent deals to return (default ~15)
comparablesNoComparables detail: "none" (default — count only, cheapest), "summary" (top-2 grounding signals), or "full" (the complete cited set). Escalate only for deals you're drilling into.

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

A4.6/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds genuinely valuable behavior: progressive disclosure, default comparables count, paid-key gating, escalation paths via 'summary' and 'full', and the fact that verdict text is always included. This goes well beyond the structured annotations.

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 longer than minimal but every sentence earns its place: core behavior, progressive disclosure, paid-key caveat, comparables escalation, and an example. It is front-loaded with the main purpose before diving into disclosure mechanics. Slight redundancy in the quoted questions could be trimmed, but overall it is 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 an output schema exists and annotations carry the read-only/idempotent safety profile, the description provides everything an agent needs: what is returned, default behavior, paid-key restriction, comparables escalation, and the kind of questions it answers. No critical operational detail is 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 the baseline is 3. The description adds meaningful usage nuance: 'limit' is exemplified with a default of ~15, and 'comparables' gets a clear escalation ladder (none cheap, summary for top-2 signals, full for drilling in). It clarifies cost/behavior implications, not just types — a real addition over 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?

Description states a specific resource — data-center M&A/capex deal flow — and a distinct output: deals with DCPI grid-reality verdicts and per-deal autopsy reads. It differentiates itself from generic transaction or market tools by overlaying 'what is the real play?' on each market. The verb 'Returns' plus named output components make the tool's job unambiguous.

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

Usage Guidelines4/5

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

Provides clear use-case context: answering 'who is actually buying data centers right now' and 'what is the real play behind this deal', plus a concrete 'Try deal_autopsy limit=15' example. It does not explicitly name alternatives like list_transactions or get_market_intel, so the guidance is strong on context but lacks explicit when-not-to-use exclusions.

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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