Medium Risk

update_surface

Rename, reslug, reorder, OR replace the column schema of a surface. Pass any subset of name, new_surface_slug, position, columns. Position is 0-based and is normalised across siblings so positions stay contiguous. Editor role required. Emits surface.updated. Column schema (columns): table surface...

Part of the Dock server.

update_surface can modify Dock 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 update_surface to create or modify resources in Dock. 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 update_surface 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 Dock.

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

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

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

Rename, reslug, reorder, OR replace the column schema of a surface. Pass any subset of name, new_surface_slug, position, columns. Position is 0-based and is normalised across siblings so positions stay contiguous. Editor role required. Emits surface.updated. Column schema (columns): table surfaces only. Pass a full ColumnDef[] to REPLACE the existing schema atomically (no per-column add/remove churn, no row data loss — existing row.data keys that are no longer mapped are preserved on disk and surface in future writes' unmapped_fields). Each ColumnDef = { key, label, type, position, width?, hidden?, description?, options? }. Type ∈ text | longtext | url | status | owner | date | number; options is required on status/owner. Reject 400 with a table-only error if the surface is a doc or html kind. Use get_workspace_schema first to fetch the current shape, mutate it, send it back.. It is categorised as a Write tool in the Dock 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_surface? +

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

What risk level is update_surface? +

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

Can I rate-limit update_surface? +

Yes. Add a rate_limit block to the update_surface 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_surface completely? +

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

update_surface is provided by the Dock MCP server (https://trydock.ai/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Dock tool call.

Deterministic rules across all 64 Dock tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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