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sanctions_screener_multi

Read-only

Screening Sanctions Multi-listes — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Answers: For , run full OFAC + EU + UK HMT + UN + SECO + Canada SEMA + PEP + adverse media screening with composite risk score and evidence trail. · Is <company/individual> on any major international sanctions list? · What is the composite AML risk score for across all major watchlists? · Screen this M&A target / supplier / LP against all major sanctions lists and give me a compliance recommendation. · Is a PEP or associated with a PEP? What Enhanced Due Diligence is required? Reference case: Veridian Trading Co. LLC (Cyprus) — 7 listes · PEP check · adverse media 2 ans · composite 52/100 · escalate-to-compliance → EDD requis. Inputs are validated server-side — send the documented case fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asyncNoIf true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.
addressNo
aliasesNo
entity_nameYes
entity_typeYes
context_noteNo
date_of_birthNo
jurisdiction_focusYesall
country_of_registrationNo
adverse_media_lookback_daysYes

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is known. The description adds that it returns a structured, audited deliverable and that inputs are validated server-side. It does not disclose rate limits or error behavior, but for a read-only tool with annotations, this is acceptable.

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

Conciseness2/5

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

The description is overlong and includes marketing fluff ('Gapup agent-payable C-suite expertise (RISK)') and a repetitive 'Answers:' list. The reference case is useful but could be condensed. It is not appropriately sized; every sentence does not earn its place.

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

Completeness3/5

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

There is no output schema, so the description must explain return values. It mentions 'structured, audited deliverable' and composite risk score, and the reference case illustrates the output format. However, it omits async behavior (despite the async parameter) and fails to clarify the full set of parameters, leaving gaps for a complex tool with 10 parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is very low (10%), so the description must compensate. It partially does by referencing entity, jurisdiction lists, and adverse media, but it leaves most parameters (address, aliases, date_of_birth, country_of_registration, context_note) unexplained. The phrase 'send the documented case fields' is vague and shifts the burden to external documentation.

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 a specific verb and resource: run full OFAC, EU, UK HMT, UN, SECO, Canada SEMA, PEP, and adverse media screening with a composite risk score. It distinguishes from siblings like kyc_screener by focusing on multi-list sanctions and PEP checks, and provides concrete example questions and a reference case.

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 description conveys clear context: use for sanctions/PEP/adverse media screening, M&A target/supplier/LP compliance checks, and compliance recommendations. It does not explicitly name alternatives or exclusions, but the examples effectively indicate when this tool should be invoked.

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

C2.4/5.0
Disambiguation1/5

Over 50 tools share the identical template 'Gapup agent-payable C-suite expertise' with similar French descriptions and reference cases, making their boundaries indistinguishable. Clusters like competitor_intel, competitive_deep_dive, competitor_moves, competitor_profiles, competitor_pricing_radar, competitor_pricing_scrape, and competitor_recommendations heavily overlap in purpose.

Naming Consistency1/5

Names are chaotic: mix of French and English, snake_case and camelCase, verb_noun, noun, and adjective forms with no uniform pattern. Examples like 'bp_narratif', 'content_enrichment', 'ai_governance_full_report_async', and 'job_result' show no coherent naming convention.

Tool Count1/5

271 tools is far beyond any reasonable MCP server scope, creating an overwhelming selection burden for agents. This count vastly exceeds the 25+ threshold for 'too many' and makes navigation impractical.

Completeness2/5

While the server covers many business domains, it lacks lifecycle operations (e.g., no update/delete tools for the deliverables it generates) and the input specifications are vague ('documented case fields' without documentation), creating functional dead ends. The sheer breadth does not compensate for these gaps.