run_extension_workflow
Execute an extension workflow by workflowId with optional config and timeout overrides.
This record as markdown: /tools/io-github-vmoranv-jshookmcp/run-extension-workflow.md
What run_extension_workflow does on Jshookmcp
AI agents invoke run_extension_workflow to trigger actions in Jshookmcp. 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.
Why run_extension_workflow is rated High
Executes arbitrary workflows with configurable parameters and timeout control, enabling unpredictable external operations.
From the tool's definition Execute an extension workflow by workflowId with optional config
Attacks that exploit this kind of access
The rule that runs run_extension_workflow safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Jshookmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_extension_workflow, this is the rule to start with:
run_extension_workflow 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Jshookmcp, apply this rule, and every run_extension_workflow call is checked against it from then on.
Questions about run_extension_workflow
Execute an extension workflow by workflowId with optional config and timeout overrides. It is categorised as a Execute tool in the Jshookmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Jshook MCP server in PolicyLayer and add a rule for run_extension_workflow: 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 Jshookmcp. Nothing to install.
run_extension_workflow 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 run_extension_workflow 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 run_extension_workflow. 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.
run_extension_workflow is provided by the Jshook MCP server (@jshookmcp/jshook). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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