smartlead_fetch_campaign_analytics_by_date_range

THE RISK

Low Risk

Why smartlead_fetch_campaign_analytics_by_date_range needs a policy

The tool retrieves campaign analytics data filtered by date range. It has no side effects—it only queries and returns information about campaign performance. This is a read-only operation that does not create, modify, delete, execute code, or commit financial transactions. Low severity because accessing analytics data poses minimal risk even if misused by an AI agent.

From the tool's definition Tool name contains 'fetch' and 'analytics'; description states 'Retrieve detailed analytics' with no mention of modifications, deletions, or external operations. This is a data retrieval operation.

Documented attack patterns abuse exactly the kind of access smartlead_fetch_campaign_analytics_by_date_range gives an agent:

POLICY

How to control smartlead_fetch_campaign_analytics_by_date_range

PolicyLayer is an MCP gateway — it sits between your AI agents and SmartLead MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for smartlead_fetch_campaign_analytics_by_date_range:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "smartlead_fetch_campaign_analytics_by_date_range": {}
  }
}

smartlead_fetch_campaign_analytics_by_date_range is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register SmartLead MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
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FAQ

Questions about smartlead_fetch_campaign_analytics_by_date_range

What does the smartlead_fetch_campaign_analytics_by_date_range tool do? +

Retrieve detailed analytics for a campaign within a specific date range. It is categorised as a Read tool in the SmartLead MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on smartlead_fetch_campaign_analytics_by_date_range? +

Register the SmartLead MCP Server MCP server in PolicyLayer and add a rule for smartlead_fetch_campaign_analytics_by_date_range: 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 SmartLead MCP Server. Nothing to install.

What risk level is smartlead_fetch_campaign_analytics_by_date_range? +

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

Can I rate-limit smartlead_fetch_campaign_analytics_by_date_range? +

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

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

smartlead_fetch_campaign_analytics_by_date_range is provided by the SmartLead MCP Server MCP server (leadmagic/smartlead-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 SmartLead MCP Server tool call.

Start from SmartLead MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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