${getExecuteSafetyPreface(env)} Execute JavaScript code against the Cumulocity API. Use the query tool first to find the right endpoint, then write an async function that calls cumulocity.request(). ${getOpenApiNote()} Available in your function: \
AI agents invoke execute to trigger actions in Mc8yp. 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 allows running arbitrary JavaScript code with access to the Cumulocity API. While the description mentions a safety preface (getExecuteSafetyPreface), the core capability is code execution against a production API system. This falls into the Execute category as it can trigger external operations whose effects depend on the arguments and code provided.
From the tool's definition Tool name is 'execute' and description explicitly states 'Execute JavaScript code against the Cumulocity API' and 'write an async function that calls cumulocity.request()'. This directly enables arbitrary code execution against a live API.
Attacks that exploit this kind of access
${getExecuteSafetyPreface(env)} Execute JavaScript code against the Cumulocity API. Use the query tool first to find the right endpoint, then write an async function that calls cumulocity.request(). ${getOpenApiNote()} Available in your function: \. It is categorised as a Execute tool in the Mc8yp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mc8yp MCP server in PolicyLayer and add a rule for execute: 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 Mc8yp. Nothing to install.
execute 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 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. 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 is provided by the Mc8yp MCP server (schplitt/mc8yp). 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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