Low Risk

quality_check

Score post quality across 7 categories: Hook Strength, Message Clarity, Platform Fit, Brand Alignment, Novelty, CTA Strength, and Safety/Claims. Each scored 0-5, total 35. Default pass threshold is 26 (~75%). Run after generate_content and before schedule_post. Include hashtags in caption if they...

Part of the Socialneuron server.

quality_check 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 quality_check 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 quality_check 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": {
    "quality_check": {}
  }
}

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Get this rule live on your own Socialneuron 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 quality_check 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 quality_check 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 quality_check tool do? +

Score post quality across 7 categories: Hook Strength, Message Clarity, Platform Fit, Brand Alignment, Novelty, CTA Strength, and Safety/Claims. Each scored 0-5, total 35. Default pass threshold is 26 (~75%). Run after generate_content and before schedule_post. Include hashtags in caption if they will be published \u2014 they affect Platform Fit and Safety scores.. 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 quality_check? +

Register the Socialneuron MCP server in PolicyLayer and add a rule for quality_check: 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 quality_check? +

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

Can I rate-limit quality_check? +

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

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

quality_check 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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