Correct or annotate a learned behavioral pattern to improve retrieval.
AI agents use correct_pattern to create or update resources in Qualixar/superlocalmemory — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Qualixar/superlocalmemory environment.
This tool modifies existing data (a learned behavioral pattern) by correcting or annotating it. It is a reversible write operation — it updates stored patterns in the memory system. No code execution, deletion, or financial action is involved. Severity is medium because corrupted or adversarially manipulated patterns could degrade AI retrieval quality or introduce persistent misinformation into the memory store.
From the tool's definition 'Correct or annotate a learned behavioral pattern to improve retrieval'
Documented attack patterns abuse exactly the kind of access correct_pattern 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 correct_pattern:
{
"version": "1",
"default": "deny",
"tools": {
"correct_pattern": {
"limits": [
{
"counter": "correct_pattern_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}correct_pattern 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.
Free to start. No card required.
Correct or annotate a learned behavioral pattern to improve retrieval. It is categorised as a Write tool in the Qualixar/superlocalmemory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Qualixar/superlocalmemory MCP server in PolicyLayer and add a rule for correct_pattern: 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.
correct_pattern 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 correct_pattern 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 correct_pattern. 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.
correct_pattern 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.