Auto-fetch registry: which bands the responder will materialize on a recall miss, the upstream provider, license, value shape, and history bounds. When to use: Call once at session start (alongside emem_bands and emem_coverage_matrix) to learn which bands answer for ANY cell on Earth without seed...
Part of the emem — Earth memory protocol server.
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AI agents invoke emem_materializers to trigger processes or run actions in emem — Earth memory protocol. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
emem_materializers can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"emem_materializers": {
"limits": [
{
"counter": "emem_materializers_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full emem — Earth memory protocol policy for all 81 tools.
These attack patterns abuse exactly the kind of access emem_materializers gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Auto-fetch registry: which bands the responder will materialize on a recall miss, the upstream provider, license, value shape, and history bounds. When to use: Call once at session start (alongside emem_bands and emem_coverage_matrix) to learn which bands answer for ANY cell on Earth without seeding. Each entry declares upstream_scheme, upstream_endpoint, derivation_fn_key, value_kind (primary | absence | primary_or_absence), coverage (where the upstream has data), unit, tempo, confidence, and history_available_from / history_available_to (when the upstream supports historical fetch via emem_backfill). Use this when the user asks 'do you have flood data here', 'what providers feed this', or you need license attribution. The response also carries an agent_hint block explaining the trust model (responder signs, not upstream) and the absence-fact contract.. It is categorised as a Execute tool in the emem — Earth memory protocol MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the emem — Earth memory protocol MCP server in PolicyLayer and add a rule for emem_materializers: 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 emem — Earth memory protocol. Nothing to install.
emem_materializers is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the emem_materializers 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 emem_materializers. 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.
emem_materializers is provided by the emem — Earth memory protocol MCP server (oci:ghcr.io/vortx-ai/emem:latest). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 81 emem — Earth memory protocol tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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