cancelAllKgInScope

Emergency stop for KG ingestion: cancels queued/running build runs, queued/running rebuild batches, demotes still-eager unfinished chunks. Optionally narrowed to one project. Requires can_manage_kg + (project write if project_id supplied). Rate limit 5/min.

SERVERStable Baseline SOURCEhttps://api.stablebaseline.io/functions/v1/cloud-serve/mcp
Critical RISK CLASS
Category Destructive
Parameters 21 required
Recommended Hiddensee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-stablebaseline-sb/cancelallkginscope.md

What cancelAllKgInScope does on Stable Baseline

AI agents call cancelAllKgInScope to permanently remove resources in Stable Baseline, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

ParameterTypeRequiredDescription
project_id string
organisation_id string Yes

Parameters from the server's own tool schema.

Why cancelAllKgInScope is rated Critical

This tool irreversibly halts and demotes KG ingestion processes. Cancelling running/queued builds and demoting chunks cannot be easily undone — work in progress is lost and the KG state is altered in a non-reversible way. The 'emergency stop' framing and rate limiting further underscore the high blast radius if misused.

From the tool's definition cancels queued/running build runs, queued/running rebuild batches, demotes still-eager unfinished chunks

Questions about cancelAllKgInScope

What does the cancelAllKgInScope tool do? +

Emergency stop for KG ingestion: cancels queued/running build runs, queued/running rebuild batches, demotes still-eager unfinished chunks. Optionally narrowed to one project. Requires can_manage_kg + (project write if project_id supplied). Rate limit 5/min. It is categorised as a Destructive tool in the Stable Baseline MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

What parameters does cancelAllKgInScope accept? +

cancelAllKgInScope accepts 2 parameters: project_id, organisation_id. Required: organisation_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on cancelAllKgInScope? +

Register the Stable Baseline MCP server in PolicyLayer and add a rule for cancelAllKgInScope: 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 Stable Baseline. Nothing to install.

What risk level is cancelAllKgInScope? +

cancelAllKgInScope is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit cancelAllKgInScope? +

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

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

cancelAllKgInScope is provided by the Stable Baseline MCP server (https://api.stablebaseline.io/functions/v1/cloud-serve/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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