auto_configure_analytics

Derive the external analytics read config from the site

SERVERFeatureBoard SOURCEhttps://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ai-featureboard-featureboard/auto-configure-analytics.md

WHAT IT DOES

What auto_configure_analytics does on FeatureBoard

AI agents call auto_configure_analytics to retrieve information from FeatureBoard without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why auto_configure_analytics is rated Low

The tool derives/reads configuration from the site without modifying any data. 'Read config' indicates a read-only operation. Severity is low as it only retrieves configuration information.

From the tool's definition Derive the external analytics read config from the site

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs auto_configure_analytics safely

PolicyLayer is an MCP gateway: it sits between your AI agents and FeatureBoard, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For auto_configure_analytics, this is the rule to start with:

auto_configure_analytics Allowed

auto_configure_analytics is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

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

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect FeatureBoard, apply this rule, and every auto_configure_analytics call is checked against it from then on.

FAQ

Questions about auto_configure_analytics

What does the auto_configure_analytics tool do? +

Derive the external analytics read config from the site. It is categorised as a Read tool in the FeatureBoard MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on auto_configure_analytics? +

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

What risk level is auto_configure_analytics? +

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

Can I rate-limit auto_configure_analytics? +

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

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

auto_configure_analytics is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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