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Glama

sanctions_check

Screen individuals or entities against OFAC and UK OFSI sanctions lists to identify potential matches for compliance checks.

Instructions

OFAC + UK OFSI sanctions screening (paid per call, USDC on Base via x402)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>"
    },
    "name": "sanctions_check"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose the most consequential behavioral trait: this is a paid, per-call tool settled in USDC on Base via x402, which an agent must know before invoking. However, it says nothing about latency, error/payment-failure behavior, or what a match result looks like.

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?

One dense parenthetical sentence with no filler, and the core capability is front-loaded before the payment caveat. It is efficient, though the terseness leaves gaps rather than trimming waste.

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

Completeness2/5

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

There is no output schema and no annotation coverage, so the description was the only place to explain return semantics (match/no-match, score, list source) and the required name format. For a screening tool with a payment step, an agent needs more than this to call it confidently.

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 0% and the single required parameter 'name' is undocumented in the schema. The description does not clarify whether 'name' means a person, an entity, a vessel, or an alias list, so it fails to compensate for the coverage gap.

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?

The description names the specific capability (sanctions screening) and the two lists checked (OFAC and UK OFSI), which is far more informative than the bare tool name. It does not state what the screening returns or against what input field, but the verb+resource pair is still identifiable and distinguishable from the unrelated siblings.

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 versus other tools, no prerequisites, and no note about what to do on a hit versus a miss. Usage is only inferable from the tool name itself.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.