sanctions_detail
Full entity record for sanctions hit. Returns UN XML detail, aliases, nationality, designation.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Name to look up |
Full entity record for sanctions hit. Returns UN XML detail, aliases, nationality, designation.
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Name to look up |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits, and it partially does by listing the return fields. It does not mention whether the lookup is read-only, if there are potential multiple matches, or any rate limits/auth needs. For a simple lookup tool, this is adequate but not rich.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences, front-loaded with the core purpose and followed by the return details. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter read-only lookup tool, the description is sufficient: it communicates what the tool does and what it returns. It could mention that a sanctions hit is a prerequisite, but this is a minor gap given the simple complexity and the absence of an output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides 100% coverage for the single 'name' parameter with 'Name to look up'. The tool description adds no additional parameter meaning, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: retrieving the full entity record for a sanctions hit, and specifies the return contents (UN XML detail, aliases, nationality, designation). This distinguishes it from sibling tools like sanctions_screen, which implies screening rather than detailed record retrieval.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The context of use is implied: it is for when you have a sanctions hit and need the full detail. However, the description does not explicitly state when to use this over alternatives like sanctions_screen or pep_check, nor does it mention any exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct AML function: sanctions screening, PEP checks, adverse media, country risk, transaction risk, UBO lookup, and regulatory news. The only potential overlap is between health_check and watchlist_update, but their purposes (server status vs data refresh) are clearly separated.
All names are lowercase with underscores and descriptive, but the pattern mixes noun phrases (adverse_media, transaction_risk) with verb phrases (pep_check, sanctions_screen). This is mostly consistent but not a strict verb_noun convention.
Twelve tools is well within the optimal range for a specialized AML screening service. Each tool adds a distinct capability without redundancy, making the set feel appropriately scoped.
The tool set covers the major AML workflow: sanctions screening, PEP, adverse media, country risk, transaction monitoring, UBO identification, and regulatory intelligence. It also includes operational tools (health check, watchlist update), leaving no critical gaps for the stated domain.