run_troubleshooting_bundle
A execute tool on the API-Central MCP server.
This record as markdown: /tools/secure-ssid-centralmcp/run-troubleshooting-bundle.md
What run_troubleshooting_bundle does on API-Central
AI agents invoke run_troubleshooting_bundle to trigger actions in API-Central. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why run_troubleshooting_bundle is rated High
The 'run_' prefix combined with 'troubleshooting_bundle' indicates this tool executes diagnostic operations on network infrastructure. While the empty description limits certainty, the operational context (network device migration, switch provisioning, GreenLake integration) and verb 'run' classify this as Execute—the effects depend on what diagnostics are triggered and what network state is examined or modified…
From the tool's definition Tool name 'run_troubleshooting_bundle' indicates execution of a diagnostic operation; description is empty but context shows this server enables 'conversational automation of HPE Aruba Central network operations' with tools for device migration, provisioning,…
Attacks that exploit this kind of access
The rule that runs run_troubleshooting_bundle safely
PolicyLayer is an MCP gateway: it sits between your AI agents and API-Central, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_troubleshooting_bundle, this is the rule to start with:
run_troubleshooting_bundle stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect API-Central, apply this rule, and every run_troubleshooting_bundle call is checked against it from then on.
Questions about run_troubleshooting_bundle
run_troubleshooting_bundle is a execute tool on the API-Central MCP server. It is categorised as a Execute tool in the API-Central MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the API-Central MCP server in PolicyLayer and add a rule for run_troubleshooting_bundle: 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 API-Central. Nothing to install.
run_troubleshooting_bundle is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_troubleshooting_bundle 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.
Set action: deny in the PolicyLayer policy for run_troubleshooting_bundle. 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.
run_troubleshooting_bundle is provided by the API-Central MCP server (secure-ssid/centralmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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