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list_transactions

Read-onlyIdempotent

Retrieve M&A and capital transactions in the data center sector. Filter by year, region, buyer, deal type, or value range to find specific deals.

Instructions

M&A and capital transactions in the data center sector — 2,000+ tracked deals (2019-present), each with its disclosed value where public (many private deals are undisclosed). Returns deal name, buyer, seller, value, date, market, target operator, type (acquisition/JV/refinance/recap). Filter by year, min_value_usd, region, buyer, or target. Try: list_transactions year=2026 min_value_usd=1000000000. Broad M&A and capital-deal flow with filters; do NOT use for hyperscaler-specific lease/PPA/JV activity (use hyperscaler_deals) or a single-deal post-mortem (use deal_autopsy).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
buyerNoFilter by acquiring company name, e.g. Blackstone, KKR, Digital Realty
limitNoMax results to return (1-500; default varies by tool)
offsetNoPagination offset, 0-based (skip this many results)
regionNoGeographic region filter, e.g. us, eu, apac, americas
sellerNoFilter by selling/target company name, e.g. CyrusOne
date_toNoLatest deal date, ISO-8601 (YYYY-MM-DD)
date_fromNoEarliest deal date, ISO-8601 (YYYY-MM-DD)
deal_typeNoDeal type filter, e.g. acquisition, jv, refinance, recap
max_value_usdNoMaximum disclosed deal value in US dollars
min_value_usdNoMinimum disclosed deal value in US dollars, e.g. 1000000000 for $1B+
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive. Description adds context about data source (2,000+ tracked deals, 2019-present), return fields, and that many private deals are undisclosed. No contradictions.

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?

Description is front-loaded with main purpose and includes an example and exclusions. Slightly lengthy but well-structured and each sentence adds value.

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?

No output schema, but description lists return fields, covers scope, filters, and boundaries. Adequate for a list tool with good annotations.

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 coverage is 100% with clear parameter descriptions. Description adds minimal extra value beyond schema, providing an example and mentioning filterable fields. Baseline 3 is appropriate.

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 lists M&A and capital transactions in the data center sector with specific details. It distinguishes from siblings by explicitly stating not to use for hyperscaler-specific deals or single-deal post-mortems, naming sibling tools.

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 when-to-use (broad M&A/capital-deal flow) and when-not-to-use (hyperscaler-specific or single-deal post-mortem) with alternative sibling tools (hyperscaler_deals, deal_autopsy). Also includes an example usage.

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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