This record as markdown: /tools/io-github-proagentstore-platform/runner-update.md
What runner_update does on ProAgentStore
AI agents use runner_update to create or update resources in ProAgentStore, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ProAgentStore environment.
Why runner_update is rated Medium
Updates a machine resource, a reversible write operation with moderate blast radius.
From the tool's definition Update a machine
Attacks that exploit this kind of access
The rule that runs runner_update safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For runner_update, this is the rule to start with:
runner_update stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ProAgentStore, apply this rule, and every runner_update call is checked against it from then on.
Questions about runner_update
Update a machine. It is categorised as a Write tool in the ProAgentStore MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the ProAgentStore MCP server in PolicyLayer and add a rule for runner_update: 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 ProAgentStore. Nothing to install.
runner_update is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the runner_update 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 runner_update. 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.
runner_update is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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