[READ] [REQUIRES LICENSE] Run HubSpot health diagnostics.
AI agents call hubspot.auth.doctor to retrieve information from G Gremlin Hubspot without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool is explicitly tagged as a READ operation and performs health diagnostics, which is a passive information retrieval action with no side effects. Severity is low as it only reads diagnostic/health information from HubSpot.
From the tool's definition [READ] Run HubSpot health diagnostics
Attacks that exploit this kind of access
[READ] [REQUIRES LICENSE] Run HubSpot health diagnostics. It is categorised as a Read tool in the G Gremlin Hubspot MCP Server, which means it retrieves data without modifying state.
Register the G Gremlin Hubspot MCP server in PolicyLayer and add a rule for hubspot.auth.doctor: 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 G Gremlin Hubspot. Nothing to install.
hubspot.auth.doctor is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the hubspot.auth.doctor 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 hubspot.auth.doctor. 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.
hubspot.auth.doctor is provided by the G Gremlin Hubspot MCP server (mikeheilmann1024/g-gremlin-hubspot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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