updateOrgFeatureFlags
Toggle feature flags on settings.enabledFeatures (plans, improvements, compliance, knowledge_graph, documents). Auth: can_admin_org + org admin. Rate limit 30/min. Plan-tier gated: enabling knowledge_graph requires Pro/Enterprise.
This record as markdown: /tools/io-stablebaseline-sb/updateorgfeatureflags.md
What updateOrgFeatureFlags does on Stable Baseline
AI agents use updateOrgFeatureFlags to create or update resources in Stable Baseline, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Stable Baseline environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
plans | boolean | — | |
documents | boolean | — | |
compliance | boolean | — | |
improvements | boolean | — | |
knowledge_graph | boolean | — | |
organisation_id | string | Yes |
Parameters from the server's own tool schema.
Why updateOrgFeatureFlags is rated Medium
This tool creates or modifies organizational configuration settings (feature flags) reversibly. While authorization is gated by 'can_admin_org + org admin', an AI agent with those permissions could toggle critical features on/off, disrupting team workflows, disabling compliance tracking, or altering knowledge graph access.
From the tool's definition Tool name 'updateOrgFeatureFlags' and description 'Toggle feature flags on settings.enabledFeatures' indicates modification of organizational configuration settings.
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs updateOrgFeatureFlags safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Stable Baseline, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For updateOrgFeatureFlags, this is the rule to start with:
updateOrgFeatureFlags stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Stable Baseline, apply this rule, and every updateOrgFeatureFlags call is checked against it from then on.
Questions about updateOrgFeatureFlags
Toggle feature flags on settings.enabledFeatures (plans, improvements, compliance, knowledge_graph, documents). Auth: can_admin_org + org admin. Rate limit 30/min. Plan-tier gated: enabling knowledge_graph requires Pro/Enterprise. It is categorised as a Write tool in the Stable Baseline MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
updateOrgFeatureFlags accepts 6 parameters: plans, documents, compliance, improvements, knowledge_graph, organisation_id. Required: organisation_id. The full parameter table on this page comes from the server's own tool schema.
Register the Stable Baseline MCP server in PolicyLayer and add a rule for updateOrgFeatureFlags: 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.
updateOrgFeatureFlags is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the updateOrgFeatureFlags 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 updateOrgFeatureFlags. 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.
updateOrgFeatureFlags 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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