aimeat_app_tool_invoke
A execute tool on the AIMEAT MCP server.
This record as markdown: /tools/io-aimeat-aimeat/aimeat-app-tool-invoke.md
What aimeat_app_tool_invoke does on AIMEAT
AI agents invoke aimeat_app_tool_invoke to trigger actions in AIMEAT. 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 aimeat_app_tool_invoke is rated High
Tool invocation permits running arbitrary operations; effects depend on which tools are invoked and their arguments.
From the tool's definition uninformative description; name suggests invoking tools with unpredictable effects.
Attacks that exploit this kind of access
The rule that runs aimeat_app_tool_invoke safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AIMEAT, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For aimeat_app_tool_invoke, this is the rule to start with:
aimeat_app_tool_invoke 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 AIMEAT, apply this rule, and every aimeat_app_tool_invoke call is checked against it from then on.
Questions about aimeat_app_tool_invoke
aimeat_app_tool_invoke is a execute tool on the AIMEAT MCP server. It is categorised as a Execute tool in the AIMEAT MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AIMEAT MCP server in PolicyLayer and add a rule for aimeat_app_tool_invoke: 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 AIMEAT. Nothing to install.
aimeat_app_tool_invoke 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 aimeat_app_tool_invoke 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 aimeat_app_tool_invoke. 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.
aimeat_app_tool_invoke is provided by the AIMEAT MCP server (https://aimeat.io/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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