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Glama

AgentEconomy Compliance API

kyc_check

Destructive

Run a KYC (Know Your Customer) identity verification check against OFAC and UN sanctions lists. Returns verification status, risk score (0-100), and sanctions/PEP match results. Powered by real government sanctions data (OFAC SDN + UN Security Council). Cost: $0.01 USDC per check. Caller must supply a signed X-PAYMENT header on the MCP HTTP request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoISO 3166-1 alpha-2 country code (e.g. US, GB, ZA, IR)
entity_idNoNational ID, passport number, or company registration number
entity_nameYesFull legal name of the person or entity to verify
wallet_addressNoBlockchain wallet address (e.g. 0x...)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations provide readOnlyHint=false and destructiveHint=true, so the description doesn't need to restate those. It adds meaningful operational details: cost per check, signed X-PAYMENT header requirement, and data source (OFAC SDN + UN Security Council). It also discloses return fields. This goes beyond the annotations, though it doesn't elaborate on the destructive side effect implied by the annotation.

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?

Description is compact and front-loaded with the core purpose, followed by return info, data source, and cost/auth details. Every sentence provides essential information without redundancy. No fluff or filler.

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?

For a tool with moderate complexity and no output schema, the description covers the main behavior, outputs (verification status, risk score, matches), and operational requirements (cost, header). It lacks guidance on parameter combinations or when to use this vs sibling tools, which is a notable gap but not critical given the schema and 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 all four parameters described. The description doesn't add extra meaning about parameter formats or how they interrelate (e.g., wallet_address vs entity_id). Since the schema already handles parameter semantics, the baseline score of 3 applies—no additional value from the description.

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?

Description states a specific verb ('Run') and resource ('KYC identity verification check') with clear targets (OFAC and UN sanctions lists). It also mentions returns like risk score and sanctions/PEP matches, which differentiates from generic screens. However, it doesn't explicitly contrast with sibling tools like aml_screen or wallet_screen, so it falls short of 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 Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives such as aml_screen or wallet_screen. It mentions prerequisites (payment header) but not when this tool is preferred or when it should be avoided. The description implies a KYC use case but lacks explicit context or exclusions.

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

A3.9/5.0
Disambiguation4/5

The tools are mostly distinct: aml_screen targets entity screening with fuzzy matching, kyc_check focuses on identity verification with PEP data, risk_report aggregates both, and wallet_screen handles blockchain addresses. However, aml_screen and kyc_check both involve sanctions list checks and have overlapping outputs (risk score, sanctions matches), which could cause initial selection confusion.

Naming Consistency3/5

Tool names mix verb styles: 'aml_screen' and 'wallet_screen' use the verb 'screen', while 'kyc_check' uses 'check' and 'risk_report' uses 'report'. The pattern is not uniform (e.g., one could expect 'screen_aml' or 'report_risk'), but the names are still readable and indicate their respective functions.

Tool Count5/5

With 4 tools, the server is well-scoped for a compliance API. Each tool covers a distinct aspect (AML screening, KYC checks, holistic risk reports, wallet screening) without unnecessary bloat or missing core functionality.

Completeness4/5

The tool set covers the primary compliance workflows: sanctions screening, identity verification, combined risk assessment, and crypto wallet risk analysis. Minor gaps exist, such as separate PEP-only screening or transaction monitoring, but the core lifecycle for compliance checks is well represented.

Resources