Low Risk

sync_audit_layer5

Record the result of a client-side Layer 5 codex review (sync.py merge gate) as a vault_events row. Body of the review is NOT stored — only an HMAC digest of the summary so operators can correlate without exposing review content. Opt-in: server skips writes (still returns success) unless ENV['AIN...

Risk signalsAccepts file system path (path)

Part of the Ainote server.

sync_audit_layer5 is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call sync_audit_layer5 to retrieve information from Ainote without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though sync_audit_layer5 only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "sync_audit_layer5": {}
  }
}

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Get this rule live on your own Ainote server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access sync_audit_layer5 gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so sync_audit_layer5 only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the sync_audit_layer5 tool do? +

Record the result of a client-side Layer 5 codex review (sync.py merge gate) as a vault_events row. Body of the review is NOT stored — only an HMAC digest of the summary so operators can correlate without exposing review content. Opt-in: server skips writes (still returns success) unless ENV['AINOTE_LAYER5_AUDIT']='on' AND a versioned HMAC secret is configured. Used by the sync.py SessionStart hook + merge command to surface 'why was this blocked?' across multi-PC sessions.. It is categorised as a Read tool in the Ainote MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on sync_audit_layer5? +

Register the Ainote MCP server in PolicyLayer and add a rule for sync_audit_layer5: 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 Ainote. Nothing to install.

What risk level is sync_audit_layer5? +

sync_audit_layer5 is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit sync_audit_layer5? +

Yes. Add a rate_limit block to the sync_audit_layer5 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.

How do I block sync_audit_layer5 completely? +

Set action: deny in the PolicyLayer policy for sync_audit_layer5. 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.

What MCP server provides sync_audit_layer5? +

sync_audit_layer5 is provided by the Ainote MCP server (@ainote/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ainote tool call.

Deterministic rules across all 32 Ainote tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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