Submit a calculation job
AI agents invoke submit_ to trigger actions in MOF Tools MCP Server. 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.
Submitting a calculation job initiates an external execution process (chemical simulation/computation via ASE). This is an Execute-category action because it triggers operations whose effects depend on the arguments passed (e.g., which MOF structure, what type of calculation).
From the tool's definition Submit a calculation job — triggers an external computational job (structural optimization or energy calculation via ASE)
Attacks that exploit this kind of access
Submit a calculation job. It is categorised as a Execute tool in the MOF Tools MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MOF Tools MCP Server MCP server in PolicyLayer and add a rule for submit_: 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 MOF Tools MCP Server. Nothing to install.
submit_ 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 submit_ 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 submit_. 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.
submit_ is provided by the MOF Tools MCP Server MCP server (liuyuxiang92/mofmaster-scientific-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →