Skip to main content
Glama
azmartone67

DC Hub — Data Center & Energy Intelligence

Market Intelligence Index

get_intelligence_index
Read-onlyIdempotent

Assess data center market health with a single 0-100 index, aggregating supply/demand, vacancy, absorption, fiber, power, and pricing trends, plus percentile rank and 7d/30d movement.

Instructions

Real-time composite market health score (0-100) aggregating supply/demand balance, vacancy, absorption velocity, fiber depth, power availability, and pricing trend. Returns the index value, percentile rank across the 300+ market set, 7d/30d trend direction, and underlying component scores. Try: get_intelligence_index market=northern-virginia. Returns ONE composite health number for a market; do NOT use for the full market metric set (use get_market_intel) or to rank multiple markets (use rank_markets).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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.
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive behavior. The description adds valuable context about what the index aggregates (supply/demand, vacancy, fiber depth, etc.) and what is returned (index, percentile rank, trends, component scores). It does not contradict the annotations. Minor confusion from 'Returns ONE composite health number' followed by a list of returns, but not a serious issue.

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 3 sentences, front-loaded with the core purpose, and each sentence adds value: what it is, what it returns, and how to use it with alternatives. It is slightly verbose in the list of components, but generally well-structured.

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?

The description covers purpose, return values, and usage exclusions, and the output schema presumably documents the return shape. However, the critical discrepancy between the implicit 'market' parameter and the empty input schema creates a completeness gap, potentially preventing correct invocation. Without that issue, it would be very complete.

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

Parameters1/5

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

The input schema has zero properties, yet the description explicitly suggests using a 'market' parameter: 'Try: get_intelligence_index market=northern-virginia.' This is misleading — the agent would attempt to pass a parameter that doesn't exist in the schema, leading to invocation errors. This is worse than providing no parameter info, so it deserves a low score.

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 states a specific verb ('returns a composite health score'), identifies the resource ('market intelligence index'), and clearly distinguishes from siblings by explicitly stating 'do NOT use for the full market metric set (use get_market_intel) or to rank multiple markets (use rank_markets).'

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?

Provides explicit usage instructions with an example ('Try: get_intelligence_index market=northern-virginia'), and clearly states when not to use it, naming alternatives (get_market_intel, rank_markets). This is excellent guidance for an agent.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/azmartone67/dchub-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server