Generate a diagnostic HTML dashboard for debugging knowledge graph context selection, search results, and node visibility. Opens in browser to help understand why certain nodes are included/excluded from context.
AI agents invoke kg_diagnostic to trigger actions in Personal Kg. 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.
While the tool's primary purpose is diagnostic/read (querying knowledge graph data for debugging), it executes an external side effect by opening a browser window. This qualifies as Execute since it triggers an external operation whose effect depends on the environment.
From the tool's definition 'Opens in browser' — the tool triggers an external operation (launching a browser) and generates/renders an HTML dashboard, going beyond simple data retrieval.
Documented attack patterns abuse exactly the kind of access kg_diagnostic gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Personal Kg, and nothing reaches the server without passing your rules. This is the rule we recommend for kg_diagnostic:
{
"version": "1",
"default": "deny",
"tools": {
"kg_diagnostic": {
"limits": [
{
"counter": "kg_diagnostic_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} kg_diagnostic 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.
Free to start. No card required.
Generate a diagnostic HTML dashboard for debugging knowledge graph context selection, search results, and node visibility. Opens in browser to help understand why certain nodes are included/excluded from context. It is categorised as a Execute tool in the Personal Kg MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Personal Kg MCP server in PolicyLayer and add a rule for kg_diagnostic: 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 Personal Kg. Nothing to install.
kg_diagnostic 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 kg_diagnostic 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 kg_diagnostic. 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.
kg_diagnostic is provided by the Personal Kg MCP server (tomschell/personal-kg-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Personal Kg, 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 Personal Kg tools catalogued and risk-classified — across an index of 43,000+ MCP servers.