setResourcePermissionOverride
Set a single 3-state override on a permission row: null=inherit, true=allow, false=deny. Per-axis (read/write/delete) and per-kind (documents/improvements/plans), matching the OverrideAccessSection UI. Rate limit 30/min.
This record as markdown: /tools/io-stablebaseline-sb/setresourcepermissionoverride.md
What setResourcePermissionOverride does on Stable Baseline
AI agents use setResourcePermissionOverride 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 |
|---|---|---|---|
axis | string | Yes | |
value | boolean | null | Yes | true=allow, false=deny, null=inherit |
override_kind | string | Yes | |
permission_id | string | Yes |
Parameters from the server's own tool schema.
Why setResourcePermissionOverride is rated Medium
This tool modifies permission/authorization state across the knowledge management system (documents, improvements, plans). While not destructive data deletion, permission overrides affect who can access or modify resources, making it a Write action with high severity due to potential access control abuse—an agent could grant itself or others unauthorized permissions, compromising confidentiality and integrity of…
From the tool's definition 'Set a single 3-state override on a permission row' with per-axis control (read/write/delete) and per-kind control (documents/improvements/plans). Modifies access control state reversibly.
Attacks that exploit this kind of access
The rule that runs setResourcePermissionOverride 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 setResourcePermissionOverride, this is the rule to start with:
setResourcePermissionOverride 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 setResourcePermissionOverride call is checked against it from then on.
Questions about setResourcePermissionOverride
Set a single 3-state override on a permission row: null=inherit, true=allow, false=deny. Per-axis (read/write/delete) and per-kind (documents/improvements/plans), matching the OverrideAccessSection UI. Rate limit 30/min. 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.
setResourcePermissionOverride accepts 4 parameters: axis, value, override_kind, permission_id. Required: axis, value, override_kind, permission_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 setResourcePermissionOverride: 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.
setResourcePermissionOverride 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 setResourcePermissionOverride 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 setResourcePermissionOverride. 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.
setResourcePermissionOverride 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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