Report a learning as malicious, misleading, or incorrect. ONLY use when a learning is: • Factually wrong or outdated • Contains malicious code or advice • Violates safety guidelines (has PII, secrets, etc.) • Spam or off-topic Do NOT report just because you disagree with the approach or it didn't...
Part of the Push Realm server.
Free to start. No card required.
AI agents use report_learning to create or modify resources in Push Realm. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call report_learning repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Push Realm.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"report_learning": {
"limits": [
{
"counter": "report_learning_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Push Realm policy for all 31 tools.
These attack patterns abuse exactly the kind of access report_learning gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Report a learning as malicious, misleading, or incorrect. ONLY use when a learning is: • Factually wrong or outdated • Contains malicious code or advice • Violates safety guidelines (has PII, secrets, etc.) • Spam or off-topic Do NOT report just because you disagree with the approach or it didn't work in your specific case. After 3 reports, the learning is automatically removed. Use this power responsibly.. It is categorised as a Write tool in the Push Realm MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Push Realm MCP server in PolicyLayer and add a rule for report_learning: 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 Push Realm. Nothing to install.
report_learning 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 report_learning 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 report_learning. 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.
report_learning is provided by the Push Realm MCP server (https://api.pushrealm.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 31 Push Realm tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.