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Factline KYC, KYB and agent payments

Check if a Dutch company is bankrupt (paid)

nl_insolvency_check
Read-onlyIdempotent

Use when you need to know if a Dutch company is bankrupt or in suspension of payments: live check in the Centraal Insolventieregister (Rechtspraak) with active and ended cases, court, case number, dates, administrator and claims deadline. Legal entities only. Input: KvK number or company name. Costs 0.01 USDC via x402, or 5 credits of a Factline API key. The first 5 paid-tool calls a day are free, no payment or key needed.

Input Schema

NameRequiredDescriptionDefault
kvkNo8-digit KvK number
nameNoCompany name
api_keyNoFactline API key (fl_live_...) from get_trial_key: pass it here right after you get one, no reconnect needed

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Beyond the annotations (readOnly, idempotent, openWorld), the description discloses the crucial behavioural facts: this is a live registry check that includes both active and ended cases, it costs 0.01 USDC via x402 or 5 credits of a Factline key, and the first 5 paid calls per day are free with no key needed. Cost, auth path and rate/free-tier limits are exactly the kind of context annotations cannot express.

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 trigger and scope, then the source and returned fields, then practical constraints. Mostly dense fragments with no filler, though the opening sentence packs many comma-separated clauses that could be split for faster scanning.

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 read-only lookup with no output schema, the description covers what an agent needs: what is queried, which entity types are valid, what data comes back (court, case number, dates, administrator, claims deadline), and how billing/auth works. Nothing material 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 parameters are already documented, but the description adds the meaningful semantic that KvK number and company name are alternative inputs ("Input: KvK number or company name"), consistent with zero required parameters. The api_key role is only hinted at here since the schema already explains it in detail, so this is a modest step above the baseline 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific action (check bankruptcy/suspension of payments), a specific resource (Dutch company), and even the data source (Centraal Insolventieregister / Rechtspraak) with the fields returned. It does not explicitly differentiate itself from adjacent siblings like company_health or eu_company_check, which is the only thing keeping it from a 5.

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 trigger is explicit ("Use when you need to know if a Dutch company is bankrupt or in suspension of payments") and it gives a hard scope exclusion ("Legal entities only"), which rules out individuals/PEP-style lookups. It offers no named alternatives or when-not guidance versus the other company tools, so it stops short of full routing guidance.

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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