get_async_apex_job

THE RISK

Low Risk

Why get_async_apex_job needs a policy

This tool retrieves metadata about an asynchronous Apex job execution (such as batch job status, test results, or deployment status) by ID. It performs a read-only query against the Salesforce Tooling API with no side effects, no code execution, and no data modification.

From the tool's definition Tool name 'get_async_apex_job' and description 'Get a specific AsyncApexJob record by ID' indicate a retrieval operation with the verb 'Get'. The Tooling API query returns status information about an asynchronous Apex job without modifying any data.

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

POLICY

How to control get_async_apex_job

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

policy.json

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

get_async_apex_job 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 Salesforce — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Salesforce tools

Destructive delete_apex_class Delete an Apex class (use with caution) Execute call_rest_api Make a generic REST API call to Salesforce (supports GET, POST, PATCH, DELETE) Execute execute_tooling_query Execute SOQL queries against Tooling API Execute run_tests Execute Apex tests Write create_apex_class Create a new Apex class Write update_apex_class Update the source code of an existing Apex class Read analyze_soql_performance Analyze SOQL query performance Read check_apex_sharing Check Apex class sharing declarations

All 25 Salesforce tools →

Read tools on other servers

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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_async_apex_job

What does the get_async_apex_job tool do? +

Get a specific AsyncApexJob record by ID using Tooling API. It is categorised as a Read tool in the Salesforce MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_async_apex_job? +

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

What risk level is get_async_apex_job? +

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

Can I rate-limit get_async_apex_job? +

Yes. Add a rate_limit block to the get_async_apex_job 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_async_apex_job completely? +

Set action: deny in the PolicyLayer policy for get_async_apex_job. 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_async_apex_job? +

get_async_apex_job is provided by the Salesforce MCP server (ryu-727/salesforce-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Salesforce tool call.

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

CHECK YOUR STACK →