Medium Risk

zos_connect_get_service_info

Get detailed information about a z/OS Connect service including its OpenAPI specification

Part of the Watsonx server.

zos_connect_get_service_info can modify Watsonx 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 zos_connect_get_service_info to create or modify resources in Watsonx. 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 zos_connect_get_service_info 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 Watsonx.

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

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

See the full Watsonx policy for all 13 tools.

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These attack patterns abuse exactly the kind of access zos_connect_get_service_info gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so zos_connect_get_service_info 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 zos_connect_get_service_info tool do? +

Get detailed information about a z/OS Connect service including its OpenAPI specification. It is categorised as a Write tool in the Watsonx MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on zos_connect_get_service_info? +

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

What risk level is zos_connect_get_service_info? +

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

Can I rate-limit zos_connect_get_service_info? +

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

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

zos_connect_get_service_info is provided by the Watsonx MCP server (watsonx-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 Watsonx tool call.

Deterministic rules across all 13 Watsonx tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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