run_tool
Dispatch any Easybits tool by name — even tools NOT loaded in the active toolGroup. Use this after
This record as markdown: /tools/cloud-easybits-easybits/run-tool.md
What run_tool does on EasyBits
AI agents invoke run_tool to trigger actions in EasyBits. 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 run_tool is rated High
Enables arbitrary execution of unvetted tools including destructive operations without explicit loading or authorization.
From the tool's definition Dispatch any Easybits tool by name — even tools NOT loaded in active toolGroup.
Attacks that exploit this kind of access
The rule that runs run_tool safely
PolicyLayer is an MCP gateway: it sits between your AI agents and EasyBits, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_tool, this is the rule to start with:
run_tool 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 EasyBits, apply this rule, and every run_tool call is checked against it from then on.
Questions about run_tool
Dispatch any Easybits tool by name — even tools NOT loaded in the active toolGroup. Use this after. It is categorised as a Execute tool in the EasyBits MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the EasyBits MCP server in PolicyLayer and add a rule for run_tool: 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 EasyBits. Nothing to install.
run_tool 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 run_tool 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 run_tool. 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.
run_tool is provided by the EasyBits MCP server (@easybits.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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