Record review decisions in BULK: pass a list of {uuid, action} where
AI agents use files_entity_coalesce_review to create or update resources in M3 Memory — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your M3 Memory environment.
This tool writes review decisions in bulk for entities (identified by uuid with an associated action). It modifies stored data by recording decisions, which is reversible (decisions can be updated). The bulk nature increases blast radius if misused, warranting medium severity. The description is truncated, slightly lowering confidence, but the core action is clearly a write operation.
From the tool's definition 'Record review decisions in BULK: pass a list of {uuid, action}' — the tool records/writes review decisions for multiple entities at once
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access files_entity_coalesce_review gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and M3 Memory, and nothing reaches the server without passing your rules. This is the rule we recommend for files_entity_coalesce_review:
{
"version": "1",
"default": "deny",
"tools": {
"files_entity_coalesce_review": {
"limits": [
{
"counter": "files_entity_coalesce_review_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}files_entity_coalesce_review 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.
Record review decisions in BULK: pass a list of {uuid, action} where. It is categorised as a Write tool in the M3 Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the M3 Memory MCP server in PolicyLayer and add a rule for files_entity_coalesce_review: 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 M3 Memory. Nothing to install.
files_entity_coalesce_review 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 files_entity_coalesce_review 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 files_entity_coalesce_review. 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.
files_entity_coalesce_review is provided by the M3 Memory MCP server (skynetcmd/m3-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from M3 Memory, 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.
43 M3 Memory tools catalogued and risk-classified — across an index of 43,000+ MCP servers.