Low Risk

record_voice_lesson

Persist a learned voice lesson to brand_profiles.platform_voice.voice_lessons. Use after weekly reflection identifies a hook/format/CTA pattern that beats median engagement by \u226530%. Appears in SN Brand > BrandBrainPreview >

Part of the Socialneuron server.

record_voice_lesson 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 record_voice_lesson to retrieve information from Socialneuron 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 record_voice_lesson 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": {
    "record_voice_lesson": {}
  }
}

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so record_voice_lesson 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 record_voice_lesson tool do? +

Persist a learned voice lesson to brand_profiles.platform_voice.voice_lessons. Use after weekly reflection identifies a hook/format/CTA pattern that beats median engagement by \u226530%. Appears in SN Brand > BrandBrainPreview >. It is categorised as a Read tool in the Socialneuron MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on record_voice_lesson? +

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

What risk level is record_voice_lesson? +

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

Can I rate-limit record_voice_lesson? +

Yes. Add a rate_limit block to the record_voice_lesson 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 record_voice_lesson completely? +

Set action: deny in the PolicyLayer policy for record_voice_lesson. 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 record_voice_lesson? +

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

Enforce policy on every Socialneuron tool call.

Deterministic rules across all 100 Socialneuron tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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