Runs diagnostic checks on the application.
AI agents invoke diagnostic_tool to trigger actions in Tally MCP. 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.
The tool actively runs operations (diagnostic checks) against the application, which constitutes execution of processes. It is not purely a passive read — diagnostics may invoke system calls, probe endpoints, or trigger internal routines.
From the tool's definition 'Runs diagnostic checks on the application' — actively executes checks against the application
Documented attack patterns abuse exactly the kind of access diagnostic_tool gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tally MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for diagnostic_tool:
{
"version": "1",
"default": "deny",
"tools": {
"diagnostic_tool": {
"limits": [
{
"counter": "diagnostic_tool_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} diagnostic_tool 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.
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Runs diagnostic checks on the application. It is categorised as a Execute tool in the Tally MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Tally MCP server in PolicyLayer and add a rule for diagnostic_tool: 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 Tally MCP. Nothing to install.
diagnostic_tool 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 diagnostic_tool 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 diagnostic_tool. 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.
diagnostic_tool is provided by the Tally MCP server (learnwithcc/tally-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tally MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
18 Tally MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.