AI agents invoke execute_tooling_query to trigger actions in Salesforce. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool triggers external operations (database queries against Salesforce Tooling API) whose effects depend entirely on the SOQL query provided as an argument. While SOQL queries alone may be read-only, the classification must account for the fact that arbitrary SOQL execution against metadata systems can be chained with destructive operations and represents a significant risk vector if an AI agent constructs…
From the tool's definition Tool name contains 'execute' and description states 'Execute SOQL queries against Tooling API'. SOQL queries can be arbitrary and potentially destructive (e.g., querying then deleting metadata).
Documented attack patterns abuse exactly the kind of access execute_tooling_query gives an agent:
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 execute_tooling_query:
{
"version": "1",
"default": "deny",
"tools": {
"execute_tooling_query": {
"limits": [
{
"counter": "execute_tooling_query_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} execute_tooling_query stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Execute SOQL queries against Tooling API. It is categorised as a Execute tool in the Salesforce MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Salesforce MCP server in PolicyLayer and add a rule for execute_tooling_query: 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.
execute_tooling_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the execute_tooling_query 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.
Set action: deny in the PolicyLayer policy for execute_tooling_query. 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.
execute_tooling_query 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.
Start from Salesforce, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
25 Salesforce tools catalogued and risk-classified — across an index of 43,000+ MCP servers.