execute_code
AI agents invoke execute_code to trigger actions in Fastmcp Gateway. 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.
Code execution tools are inherently Execute category and pose critical risk. An LLM agent using this without proper safeguards could execute malicious, unintended, or destructive code. The empty description increases uncertainty slightly but the explicit 'execute_code' name is definitive evidence of Execute semantics.
From the tool's definition Tool name is 'execute_code' with no description provided. The name directly indicates code execution capability.
Attacks that exploit this kind of access
execute_code. It is categorised as a Execute tool in the Fastmcp Gateway MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Fastmcp Gateway MCP server in PolicyLayer and add a rule for execute_code: 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 Fastmcp Gateway. Nothing to install.
execute_code 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_code 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_code. 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_code is provided by the Fastmcp Gateway MCP server (ultrathink-solutions/fastmcp-gateway). 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.
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