Proactively return top-K memories for a query.
AI agents call prestage_context_tool to retrieve information from Qualixar/superlocalmemory without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns stored memories based on a query input. There are no side effects, data mutations, code execution, destructive operations, or financial implications. The action is purely informational — fetching and presenting data that already exists. While the context is AI memory management, the tool itself performs no irreversible changes or dangerous operations. Severity is low because misuse (e.
From the tool's definition Tool description states 'Proactively return top-K memories for a query' — a retrieval operation with no modification, deletion, or execution capability.
Documented attack patterns abuse exactly the kind of access prestage_context_tool gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Qualixar/superlocalmemory, and nothing reaches the server without passing your rules. This is the rule we recommend for prestage_context_tool:
{
"version": "1",
"default": "deny",
"tools": {
"prestage_context_tool": {}
}
}prestage_context_tool is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Proactively return top-K memories for a query. It is categorised as a Read tool in the Qualixar/superlocalmemory MCP Server, which means it retrieves data without modifying state.
Register the Qualixar/superlocalmemory MCP server in PolicyLayer and add a rule for prestage_context_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 Qualixar/superlocalmemory. Nothing to install.
prestage_context_tool 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 prestage_context_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 prestage_context_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.
prestage_context_tool is provided by the Qualixar/superlocalmemory MCP server (qualixar/superlocalmemory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 59 Qualixar/superlocalmemory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
59 Qualixar/superlocalmemory tools catalogued and risk-classified — across an index of 42,500+ MCP servers.