Unified tool for ServiceNow Performance Analytics indicator definitions and their dimensional breakdowns. Wraps the pa_indicators, pa_breakdowns, pa_indicator_breakdowns (join), pa_widgets, and pa_scores tables on the platform. Actions: - list — list indicators, optionally filtered by cube - get ...
AI agents call snow_pa_indicator_manage to permanently remove resources in Serac — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool supports a delete action that removes Performance Analytics indicator definitions. Deleting PA indicators is irreversible and can destroy metric definitions, historical breakdown associations, and dashboard data dependencies across ServiceNow. Per the severity rules, Destructive takes precedence over Write/Execute since deletion cannot be undone.
From the tool's definition delete — remove an indicator
Attacks that exploit this kind of access
Unified tool for ServiceNow Performance Analytics indicator definitions and their dimensional breakdowns. Wraps the pa_indicators, pa_breakdowns, pa_indicator_breakdowns (join), pa_widgets, and pa_scores tables on the platform. Actions: - list — list indicators, optionally filtered by cube - get — retrieve a single indicator by sys_id or name (includes related widget and breakdown counts) - create — create a new indicator (name, aggregate, precision, forecast_base_periods, forecast_periods required; cube optional but typical) - update — patch indicator fields - delete — remove an indicator (and optionally its dependent pa_indicator_breakdowns links) - add_breakdown — attach a dimensional breakdown to an indicator (writes pa_breakdowns + pa_indicator_breakdowns join) - list_breakdowns — list breakdowns for a given indicator (via pa_indicator_breakdowns) or globally Use when: the agent needs to manage KPI/indicator definitions, attach dimensional slicers (assignment_group, priority, location, etc.) to existing indicators, or audit which indicators a cube feeds. Returns: indicator records with sys_id, name, label, cube, aggregate, field, frequency, unit, precision. For breakdowns, returns sys_id, name, facts_table, field, and matrix_source. Companion tools: snow_pa_create for full PA artifact creation (widgets, thresholds, scheduled reports) and snow_pa_operate for collecting and querying PA scores. It is categorised as a Destructive tool in the Serac MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Serac MCP server in PolicyLayer and add a rule for snow_pa_indicator_manage: 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 Serac. Nothing to install.
snow_pa_indicator_manage is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the snow_pa_indicator_manage 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 snow_pa_indicator_manage. 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.
snow_pa_indicator_manage is provided by the Serac MCP server (serac-labs/serac). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
snow_pa_indicator_manage is one line of Serac's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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