Medium Risk

studio_set_category_attr

Update a category's editable attributes (name and/or description). Other fields (id, collection, creator) are managed by the system.

Part of the Tesseract server.

studio_set_category_attr can modify Tesseract 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 studio_set_category_attr to create or modify resources in Tesseract. 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 studio_set_category_attr 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 Tesseract.

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

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

See the full Tesseract policy for all 46 tools.

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

Update a category's editable attributes (name and/or description). Other fields (id, collection, creator) are managed by the system.. It is categorised as a Write tool in the Tesseract MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on studio_set_category_attr? +

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

What risk level is studio_set_category_attr? +

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

Can I rate-limit studio_set_category_attr? +

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

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

studio_set_category_attr is provided by the Tesseract MCP server (tesseract-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Tesseract tool call.

Deterministic rules across all 46 Tesseract tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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