Medium Risk

pictify_create_experiment

Create a new experiment to test different image variants. WORKFLOW: 1) Create the experiment (starts in 'draft' status), 2) Use pictify_start_experiment to begin routing traffic, 3) Use pictify_get_experiment to monitor variant impressions/clicks, 4) Use pictify_complete_experiment to declare a w...

Risk signalsHigh parameter count (29 properties)

Part of the Mcp server.

pictify_create_experiment can modify Mcp 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 pictify_create_experiment to create or modify resources in Mcp. 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 pictify_create_experiment 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 Mcp.

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

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

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

Create a new experiment to test different image variants. WORKFLOW: 1) Create the experiment (starts in 'draft' status), 2) Use pictify_start_experiment to begin routing traffic, 3) Use pictify_get_experiment to monitor variant impressions/clicks, 4) Use pictify_complete_experiment to declare a winner. Requires at least 2 variants. Variant weights must sum to exactly 10000 (basis points, i.e., 5000 = 50%). The slug becomes part of the experiment URL and must be unique, 3-60 chars, lowercase alphanumeric and hyphens. For A/B tests, enable banditConfig to use Thompson Sampling auto-optimization.. It is categorised as a Write tool in the Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on pictify_create_experiment? +

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

What risk level is pictify_create_experiment? +

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

Can I rate-limit pictify_create_experiment? +

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

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

pictify_create_experiment is provided by the MCP server (@pictify/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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