Medium Risk

update_picklist_option

Update an existing option

How to control update_picklist_option ↓

What update_picklist_option does on Dataverse

AI agents use update_picklist_option to create or update resources in Dataverse — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dataverse environment.

Medium Risk

Why update_picklist_option needs a policy

This tool modifies existing picklist options in Dataverse, which is a reversible write operation. It does not delete data (Destructive), execute arbitrary code (Execute), involve financial transactions (Financial), or merely read data (Read). The severity is medium because incorrect updates to picklist options could disrupt business logic or user workflows, but the change can be reverted by updating again.

From the tool's definition Tool name 'update_picklist_option' and description 'Update an existing option' indicate modification of data. Picklist options are configuration elements in Dataverse that define dropdown values. The verb 'update' performs a reversible modification.

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

How to control update_picklist_option

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

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

update_picklist_option stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Dataverse — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about update_picklist_option

What does the update_picklist_option tool do? +

Update an existing option. It is categorised as a Write tool in the Dataverse MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_picklist_option? +

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

What risk level is update_picklist_option? +

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

Can I rate-limit update_picklist_option? +

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

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

update_picklist_option is provided by the Dataverse MCP server (rededis/dataverse-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 Dataverse tool call.

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

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22 Dataverse tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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