Low Risk

get_content_plan

Load a persisted content plan by its UUID \u2014 returns the full plan including all posts, scheduling status, and approval state. Use to inspect a plan before update_content_plan or schedule_content_plan. plan_id comes from save_content_plan, plan_content_week (when persisted), or list_plan_appr...

Part of the Socialneuron server.

get_content_plan 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 get_content_plan 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 get_content_plan 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": {
    "get_content_plan": {}
  }
}

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These attack patterns abuse exactly the kind of access get_content_plan 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 get_content_plan 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 get_content_plan tool do? +

Load a persisted content plan by its UUID \u2014 returns the full plan including all posts, scheduling status, and approval state. Use to inspect a plan before update_content_plan or schedule_content_plan. plan_id comes from save_content_plan, plan_content_week (when persisted), or list_plan_approvals. For just the approval state, list_plan_approvals is cheaper.. 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 get_content_plan? +

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

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

Can I rate-limit get_content_plan? +

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

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

get_content_plan 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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