Skip to main content
Glama

Rank family offices against a buyer's criteria

rank_family_offices
Read-onlyIdempotent

THE tool for any family office question with criteria (sector, check size, capital, sponsors, co-investors, recent events, geography, reachable people). Family offices ranked by a transparent weighted score over the criteria given. Each row carries reasons (what matched, citing card fields and dfx ids), failed (evaluated, did not match) and gaps (could not be evaluated: data missing, not a failure), plus capital band, last deal, top decision maker (name and title, no contact value) and signal. The envelope says per criterion how many candidates it could be evaluated on. Geography and class are hard filters; everything else is soft unless listed in require. Default: family capital only. Industries are canonical codes (industrial_services, manufacturing, financial_services:fintech, real_estate:multifamily, software:ai, healthcare_services...) or plain words. Returns dfx:fo: ids. ACCESS: without a paid DFX plan on the vertical, a list returns its first 5 rows in full and a count of the rest by type (locked.count, locked.by_type), never the rows; a record names its subject and the first 3 related names per section; contact values (email, phone, profile URLs) and decision-maker names are never returned, only their types and counts. Every answer says what it withheld in entitlement and locked. Full access: DFX Intelligence, 7 days free at https://dfxintel.com/data-factory/plans.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
metroNo
citiesNo
preferNoMake geography soft.
stagesNo
statesNoTwo-letter codes.
classesNo
controlNoPrefers offices with control or majority deals on record.
regionsNo
requireNoCriteria that must match (hard filters).
industriesNoCanonical codes or words: industrial, fintech, healthcare, multifamily, oil and gas, AI...
event_sinceNoISO date; default two years back.
event_typesNoFAMILY_LIQUIDITY_EVENT, CIO_HIRED (a CIO or head of investments hire), NEW_INVESTMENT_VEHICLE, ...
contact_tierNo
asset_classesNo
check_max_usdNo
check_min_usdNoStated check size, else the office's own disclosed checks, overlaps this range.
invested_sinceNoISO date: a dated deal on or after it.
capital_max_usdNo
capital_min_usdNoOffice investable capital band (else family wealth band) overlaps this range.
co_invested_withNoFirm names or dfx ids the office has co-invested with.
counterparty_minNo
direct_investingNoPrefers offices with direct deals on record (or a stated direct program).
investment_typesNo
event_within_daysNo
sponsor_min_dealsNoMinimum sponsor-backed deals or sponsor relationships.
counterparty_kindsNoKinds of co-investor: pe, vc, family_office, lender, independent_sponsor.
single_family_onlyNoExcludes multi-family offices.
sponsor_industriesNoSectors of the sponsor deals (defaults to industries).
invested_within_daysNo
allocates_to_managersNoPrefers offices that commit to external funds or managers.
min_identity_confidenceNo0 to 100.
backs_independent_sponsorsNo
has_reachable_decision_makerNo
investment_decision_maker_onlyNoCount only people with investment authority (CIO, head of investments), not any principal.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare read-only, idempotent, non-destructive, but the description adds substantial behavioral context beyond them: entitlement/locked gating (5-row lists, names/counts only, contact values never returned), the reasons/failed/gaps output structure, and the default 'family capital only' scope. This is exactly the extra disclosure annotations cannot carry.

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?

Front-loaded with the core purpose and mostly dense with signal; the filter semantics and access rules each earn their sentence. The trailing sales line ('Full access: DFX Intelligence, 7 days free at...') is promotional filler that does not help an agent invoke the tool correctly.

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?

For a highly complex 35-param tool with no output schema, the description supplies the missing return-value contract (reasons/failed/gaps, envelope coverage counts, entitlement/locked) and the filter model. An agent has what it needs to call it and interpret results without a schema.

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?

With 35 params at 54% schema coverage, the description compensates well conceptually: it explains require as hard filters, prefer as making geography soft, geography/class as default hard filters, and gives canonical industry codes. It still leaves a number of individual params (contact_tier, min_identity_confidence, counterparty_min) unexplained in prose, so it does not fully close the coverage gap.

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?

Opens with a specific verb+resource claim ('THE tool for any family office question with criteria') and enumerates the criteria dimensions it ranks on. It is clearly distinguishable from siblings like search_family_offices and get_family_office, which fetch rather than rank against a buyer's weighted criteria.

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?

States the selection condition clearly ('any family office question with criteria') and defines the hard-vs-soft filter model plus the role of require and prefer. It does not explicitly name the alternative sibling tools (search_family_offices, explain_match) or state when NOT to use it, so it falls short of the full when/when-not/alternatives bar.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.