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sanctions-screening-mcp-server

sanctions-screening-mcp-server: get designation

sanctions_get_designation
Read-onlyIdempotent

Fetch the full record for one sanctions designation by source list + entry ID — the drill-in after sanctions_screen_name surfaces a candidate. Returns all published aliases, identifiers (passport/national-ID/tax), addresses, dates and places of birth, nationalities, sanctioning program, legal basis, and designation date. The record reflects exactly what the source published; missing fields mean the source omitted them. This is a screening aid — the designation record supports a compliance review, it is not itself a determination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYesWhich source list the entry belongs to.
entryIdYesThe source list's own entry ID (the sourceEntryId from sanctions_screen_name).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent when the call failed. Absent on success.
caveatNoDecision-support caveat — this is a screening aid, not a compliance determination.
sourceNoSource list the entry belongs to.
aliasesNoAll published aliases / name variants.
programNoSanctioning program / regime, when published.
remarksNoFree-form remarks published by the source, when present.
addressesNoPublished addresses.
entityTypeNoEntity classification as published.
legalBasisNoStatutory / regulatory basis, when published.
identifiersNoPublished identifiers (passport, national ID, tax, registration, …).
primaryNameNoPrimary published name.
sourceLabelNoHuman-readable name of the source list.
datesOfBirthNoPublished dates and places of birth (persons).
nationalitiesNoPublished nationalities / citizenships.
sourceEntryIdNoThe source list's own entry ID.
designationDateNoDesignation date, when published.

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is clear. The description adds valuable context about data fidelity ('The record reflects exactly what the source published; missing fields mean the source omitted them') and the tool's non-determinative nature. These go beyond the annotations and clarify potential pitfalls, though some nuance like pagination or error handling is absent.

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 description is a compact three-sentence block with the purpose front-loaded, followed by return contents and a behavioral warning. Every sentence earns its place; there is no redundancy or filler.

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?

The tool has an output schema, so return format details are covered there. The description covers the workflow trigger, what fields are returned, data fidelity expectations, and the tool's role as a screening aid. For a two-parameter read-only fetch, this is fully adequate; nothing needed for correct invocation 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 description coverage is 100%, so both parameters are documented in the schema. The description adds a key pointer: entryId is 'the sourceEntryId from sanctions_screen_name,' which establishes the expected provenance and reduces misuse risk. This is meaningful added value over the schema alone, but does not fully elaborate on edge cases like invalid source values.

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 the verb 'fetch' and the resource 'full record for one sanctions designation by source list + entry ID', immediately distinguishing it from the screening tool it complements. It also explicitly positions it as the drill-in after sanctions_screen_name, which differentiates it from siblings like sanctions_get_entity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

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

The description explicitly names the preceding step ('the drill-in after sanctions_screen_name surfaces a candidate') and the alternative workflow, making the usage context unambiguous. It also adds a critical boundary: 'it is not itself a determination,' guiding the agent on when to rely on this tool vs. making a final compliance decision.

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

A4.7/5.0
Disambiguation5/5

Each tool serves a distinct purpose: listing sources, screening names, fetching designation records, resolving LEIs, fetching entity details, and tracing ownership graphs. No two tools overlap in function, and the descriptions clearly differentiate them.

Naming Consistency5/5

All tool names follow the consistent pattern 'sanctions_' + verb + noun using snake_case: get_designation, get_entity, list_sources, resolve_entity, screen_name, trace_ownership. The verbs and objects are distinct and predictable.

Tool Count5/5

With 6 tools, the server is tightly scoped to the sanctions screening workflow: name screening, designation lookup, entity resolution, entity details, ownership tracing, and source provenance. Each tool earns its place, and the count is well within the ideal 3-15 range.

Completeness5/5

The tool set covers the full screening lifecycle: list sources for provenance, screen a name, drill into designation details, resolve companies to LEIs, fetch entity records, and trace ownership with optional screening. No obvious gaps exist for the stated purpose, and the server supports complete workflows.