Medium Risk

plan_content_week

Generate a full content plan with platform-specific drafts, hooks, angles, and optimal schedule times. Pass a topic or source_url \u2014 brand context and performance insights auto-load via project_id. Output feeds directly into quality_check_plan then schedule_content_plan. Costs ~5-15 credits d...

Part of the Socialneuron server.

plan_content_week can modify Socialneuron data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use plan_content_week to create or modify resources in Socialneuron. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call plan_content_week repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Socialneuron.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "plan_content_week": {
      "limits": [
        {
          "counter": "plan_content_week_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Socialneuron policy for all 100 tools.

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These attack patterns abuse exactly the kind of access plan_content_week 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 plan_content_week only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the plan_content_week tool do? +

Generate a full content plan with platform-specific drafts, hooks, angles, and optimal schedule times. Pass a topic or source_url \u2014 brand context and performance insights auto-load via project_id. Output feeds directly into quality_check_plan then schedule_content_plan. Costs ~5-15 credits depending on post count.. It is categorised as a Write tool in the Socialneuron MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on plan_content_week? +

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

plan_content_week is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit plan_content_week? +

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

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

plan_content_week 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.

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