register_job
Register a dynamic job that runs in a sandboxed environment.
This record as markdown: /tools/frontmcp/register-job.md
What register_job does on Frontmcp
AI agents invoke register_job to trigger actions in Frontmcp. 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 register_job is rated High
This tool registers and runs dynamic jobs, which constitutes code or process execution. Even though it mentions a sandboxed environment, the ability to register arbitrary dynamic jobs that execute is an Execute-category risk. The blast radius is high because malicious or erroneous job code could escape the sandbox or consume significant resources.
From the tool's definition 'Register a dynamic job that runs in a sandboxed environment' — registers and executes dynamic code/jobs
Attacks that exploit this kind of access
The rule that runs register_job safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Frontmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For register_job, this is the rule to start with:
register_job 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 Frontmcp, apply this rule, and every register_job call is checked against it from then on.
Questions about register_job
Register a dynamic job that runs in a sandboxed environment. It is categorised as a Execute tool in the Frontmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Front MCP server in PolicyLayer and add a rule for register_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 Frontmcp. Nothing to install.
register_job 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 register_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.
Set action: deny in the PolicyLayer policy for register_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.
register_job is provided by the Front MCP server (agentfront/frontmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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