Medium Risk

publish_form

Publish the form so the user can keep it, share it, and collect real responses. ONLY call this when the user EXPLICITLY asks to publish, save, or share their form. Do NOT call this automatically — the preview URL is sufficient during the building process. Creates a permanent copy of the form and ...

Part of the Weavely AI Forms & Surveys server.

publish_form can modify Weavely AI Forms & Surveys 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 publish_form to create or modify resources in Weavely AI Forms & Surveys. 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 publish_form 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 Weavely AI Forms & Surveys.

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

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

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

Publish the form so the user can keep it, share it, and collect real responses. ONLY call this when the user EXPLICITLY asks to publish, save, or share their form. Do NOT call this automatically — the preview URL is sufficient during the building process. Creates a permanent copy of the form and returns an editor URL. The user can create a Weavely account there to claim full ownership. IMPORTANT: If this tool fails, tell the user there was an error publishing and they should try again. Do NOT suggest visiting the preview URL to claim or publish — that is NOT possible. The preview URL is a temporary link that cannot be claimed or converted into a permanent form.. It is categorised as a Write tool in the Weavely AI Forms & Surveys MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on publish_form? +

Register the Weavely AI Forms & Surveys MCP server in PolicyLayer and add a rule for publish_form: 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 Weavely AI Forms & Surveys. Nothing to install.

What risk level is publish_form? +

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

Can I rate-limit publish_form? +

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

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

publish_form is provided by the Weavely AI Forms & Surveys MCP server (florian/weavely). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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