Low Risk

get_withdrawal

Retrieve a specific withdrawal by its ID

How to control get_withdrawal ↓

What get_withdrawal does on Mcp Ap2

AI agents call get_withdrawal to retrieve information from Mcp Ap2 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_withdrawal needs a policy

The tool retrieves/queries existing withdrawal data without modifying, deleting, or executing financial transactions. Although the server handles payment-related operations (AP2 is a payment protocol), this specific tool only reads withdrawal information. It does not move money, authorize payments, or commit financial obligations — it simply fetches withdrawal details.

From the tool's definition Tool name is 'get_withdrawal' and description states 'Retrieve a specific withdrawal by its ID' — the verb 'retrieve' indicates a read-only query operation with no side effects.

Documented attack patterns abuse exactly the kind of access get_withdrawal gives an agent:

How to control get_withdrawal

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for get_withdrawal:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_withdrawal": {}
  }
}

get_withdrawal is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Mcp Ap2 — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about get_withdrawal

What does the get_withdrawal tool do? +

Retrieve a specific withdrawal by its ID. It is categorised as a Read tool in the Mcp Ap2 MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_withdrawal? +

Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for get_withdrawal: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Ap2. Nothing to install.

What risk level is get_withdrawal? +

get_withdrawal is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_withdrawal? +

Yes. Add a rate_limit block to the get_withdrawal rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block get_withdrawal completely? +

Set action: deny in the PolicyLayer policy for get_withdrawal. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides get_withdrawal? +

get_withdrawal is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Ap2 tool call.

Start from Mcp Ap2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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1300 Mcp Ap2 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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