Low Risk

user_activity

Composite snapshot of a specific user's activity on a project. Returns an identity block (visitorId, userEmail, userName, firstSeen, lastSeen), total pageviews, total custom events, session count, top pages this user visited, their most-fired event names, and their 20 most recent events with prop...

Part of the Convalytics server.

user_activity 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 user_activity to retrieve information from Convalytics 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 user_activity 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": {
    "user_activity": {}
  }
}

See the full Convalytics policy for all 15 tools.

Get this rule live on your own Convalytics 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 user_activity 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 user_activity 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 user_activity tool do? +

Composite snapshot of a specific user's activity on a project. Returns an identity block (visitorId, userEmail, userName, firstSeen, lastSeen), total pageviews, total custom events, session count, top pages this user visited, their most-fired event names, and their 20 most recent events with props. Use this for 'how is dancleary54@gmail.com using my app?' style questions — one call, full picture. For ad-hoc drill-down (just a count, just recent events) pass user to the individual tools instead. Default window is the last 7 days.. It is categorised as a Read tool in the Convalytics MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on user_activity? +

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

What risk level is user_activity? +

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

Can I rate-limit user_activity? +

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

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

user_activity is provided by the Convalytics MCP server (https://api.convalytics.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Convalytics tool call.

Deterministic rules across all 15 Convalytics tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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