Get detailed information about a paused or failed plan to help resume execution. Returns the current node where execution stopped, list of completed/pending/failed nodes, user-configured field values, selected branches, and other metadata. Use this when resuming a plan that was paused, failed, or...
AI agents call get_resume_info to retrieve information from Overture without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool purely retrieves and queries state information about a paused or failed plan to support resuming execution. It has no side effects—it does not modify, delete, execute, or move money. The action is purely informational, making it a Read category tool with low severity since it only exposes metadata about plan state.
From the tool's definition Tool name 'get_resume_info' and description indicate it 'Get[s] detailed information' and 'Returns the current node...list of completed/pending/failed nodes...and other metadata' with no modification of state, deletion, code execution, or financial…
Documented attack patterns abuse exactly the kind of access get_resume_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Overture, and nothing reaches the server without passing your rules. This is the rule we recommend for get_resume_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_resume_info": {}
}
}get_resume_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get detailed information about a paused or failed plan to help resume execution. Returns the current node where execution stopped, list of completed/pending/failed nodes, user-configured field values, selected branches, and other metadata. Use this when resuming a plan that was paused, failed, or loaded from history. It is categorised as a Read tool in the Overture MCP Server, which means it retrieves data without modifying state.
Register the Overture MCP server in PolicyLayer and add a rule for get_resume_info: 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 Overture. Nothing to install.
get_resume_info is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_resume_info 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 get_resume_info. 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.
get_resume_info is provided by the Overture MCP server (sixhq/overture). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 14 Overture tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
14 Overture tools catalogued and risk-classified — across an index of 42,500+ MCP servers.