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Company Intelligence Tools — Zinin M2M Hub

Counterparty Risk Rollup

counterparty-risk-rollup
Read-only

Screen a counterparty in one call: OFAC + EU sanctions match, GLEIF legal-entity registry, litigation history (US/UK/PL) and a hiring signal from public ATS boards, combined into one row per company with a documented risk score. Keyless sources only. — $0.03/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
checksNoWhich of the four checks to run per company. Sanctions and registry are fast (shared cached list + one API call); litigation and hiring each add one more API call per company.
companiesYesCompany legal names to assess, one per row (a Legal Entity Identifier is also accepted for the registry check). One dataset row comes out per company, combining every check you selected below.
maxConcurrencyNoHow many companies to assess in parallel.
jurisdictionHintNoOptional ISO country code, e.g. "GB", "DE", "PL". Narrows the registry lookup to that country and picks which litigation source is queried (GB/UK -> UK case law, PL -> Poland SAOS, anything else -> US CourtListener, the default). "UK" is accepted as a synonym for "GB" everywhere — it is normalized to the ISO code "GB" before it reaches the registry (GLEIF) lookup, since GLEIF itself only recognizes "GB".

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds useful behavioral context: 'Keyless sources only' indicates no API keys are needed, 'combined into one row per company' clarifies aggregation behavior, and 'documented risk score' hints at how results are presented. It does not contradict annotations, and the extra details go beyond annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core description is one dense sentence that front-loads the tool's purpose and components, followed by a brief pricing note. Every word contributes meaningful information with no fluff or repetition of schema details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given four well-documented parameters and no output schema, the description covers the essential behavior: the composite nature of the rollup, the per-company row output, and the risk score. It could be more explicit about what the 'documented risk score' contains or how the row is structured, but for the tool's complexity, it is sufficiently complete.

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?

The schema already provides 100% coverage with rich descriptions for all four parameters, including defaults, allowed values, and per-parameter cost implications. The tool description itself does not add new parameter-level insights beyond referencing the checks, so the baseline score of 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 uses a specific verb 'Screen' and resource 'counterparty', clearly listing all four data sources (OFAC/EU sanctions, GLEIF registry, litigation history, hiring signal) and the output format ('one row per company with a documented risk score'). This distinguishes it from sibling tools like sanctions-screening or litigation-check, which are single-purpose.

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?

The phrase 'Screen a counterparty in one call' implies this is the comprehensive, combined alternative to individual checks, giving clear context for when to use it. However, it does not explicitly state scenarios where a specialized sibling tool would be preferred, so the guidance is clear but not exhaustive.

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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TDQS

A4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but some overlap exists between company-lookup and company-registry-enricher, and between individual signal tools and composite rollups. The descriptive names help differentiate, but the boundary between one-off screenings and alert/rollup tools requires careful reading.

Naming Consistency4/5

Tool names follow a consistent pattern of hyphenated lowercase nouns (e.g., company-lookup, funding-alert, sanctions-screening). The one exception, pricing_info, uses an underscore, creating a minor deviation from the otherwise uniform naming style.

Tool Count4/5

With 20 tools, the server is on the higher end of typical scope but justified for a comprehensive company intelligence bundle. Each tool covers a distinct or complementary aspect of company research, so the count feels purposeful rather than bloated.

Completeness5/5

The toolset covers company lookup, registry, hiring, funding, sanctions, litigation, patents, contacts, new company detection, and email verification—a broad and well-rounded surface for due diligence and sales intelligence. Composite tools like intent-signal-aggregator and lead-list-qualifier tie these together effectively, leaving no major dead ends.

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