call_function
Run a function an app declares (manifest.functions) — data in, data out, no UI needed. The body is code the app
This record as markdown: /tools/2nd1st-open-mcp-apps/call-function.md
What call_function does on Open Mcp Apps
AI agents invoke call_function to trigger actions in Open Mcp Apps. 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 call_function is rated High
Executes arbitrary code declared by apps with unknown effects and capabilities.
From the tool's definition Run a function an app declares, body is code the app
Attacks that exploit this kind of access
The rule that runs call_function safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Open Mcp Apps, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For call_function, this is the rule to start with:
call_function 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 Open Mcp Apps, apply this rule, and every call_function call is checked against it from then on.
Questions about call_function
Run a function an app declares (manifest.functions) — data in, data out, no UI needed. The body is code the app. It is categorised as a Execute tool in the Open Mcp Apps MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Open Mcp Apps MCP server in PolicyLayer and add a rule for call_function: 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 Open Mcp Apps. Nothing to install.
call_function 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 call_function 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 call_function. 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.
call_function is provided by the Open Mcp Apps MCP server (@2nd1st/open-mcp-apps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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