Get the status of the Recall integration for storing sequential thinking logs
AI agents call recallstatus to retrieve information from Sequential Thinking MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves status information about the Recall integration. The verb 'Get' and the absence of any language suggesting state changes, deletions, or external operations confirm this is a Read operation. No data is created, modified, deleted, or executed. Severity is low as status queries present minimal risk even if accessed by an AI agent without authorization.
From the tool's definition Tool name is 'recallstatus' and description states 'Get the status' — indicates a query/retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access recallstatus gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Sequential Thinking MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for recallstatus:
{
"version": "1",
"default": "deny",
"tools": {
"recallstatus": {}
}
}recallstatus 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 the status of the Recall integration for storing sequential thinking logs. It is categorised as a Read tool in the Sequential Thinking MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Sequential Thinking MCP Server MCP server in PolicyLayer and add a rule for recallstatus: 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 Sequential Thinking MCP Server. Nothing to install.
recallstatus 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 recallstatus 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 recallstatus. 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.
recallstatus is provided by the Sequential Thinking MCP Server MCP server (recallnet/sequential-thinking-recall). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Sequential Thinking MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
4 Sequential Thinking MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.