get_batch

THE RISK

Low Risk

Why get_batch needs a policy

This tool performs a straightforward data retrieval operation with no ability to modify, execute, or delete data. The explicit 'read-only' qualifier confirms it is a safe query operation with minimal risk if accessed by an AI agent.

From the tool's definition Tool name is 'get_batch' and description explicitly states 'read-only, does not claim' — it retrieves batch details without side effects.

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

POLICY

How to control get_batch

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_batch": {}
  }
}

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

Create a free account and register Mock — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

Related tools and policies

More Mock tools

Write claim_next_batch Claim the next pending mock batch for processing. This acquires a lease on the batch. Write provide_batch_mock_data Provide mock response data for a claimed batch. You MUST first call claim_next_batch Write release_batch Release a claimed batch without providing mock data. Use this if you cannot generate appro Read get_status Get the current status of the mock-mcp daemon, including active test runs and pending batc Read list_runs List all active test runs connected to the daemon.

All 6 Mock tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_batch

What does the get_batch tool do? +

Get details of a specific batch by ID (read-only, does not claim). It is categorised as a Read tool in the Mock MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_batch? +

Register the Mock MCP server in PolicyLayer and add a rule for get_batch: 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 Mock. Nothing to install.

What risk level is get_batch? +

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

Can I rate-limit get_batch? +

Yes. Add a rate_limit block to the get_batch 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_batch completely? +

Set action: deny in the PolicyLayer policy for get_batch. 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_batch? +

get_batch is provided by the Mock MCP server (mcpland/mock-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mock tool call.

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

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