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ServiceNow CMDB MCP Server

by ketiil

get_reconciliation_rules

Read-onlyIdempotent

Retrieve CMDB IRE reconciliation rules that define source priorities for resolving conflicting CI field values from multiple data sources.

Instructions

Get CMDB IRE reconciliation (data refresh) rules.

Reconciliation rules control how field values are updated when multiple data sources provide conflicting values for the same CI. They define source priorities and which source "wins" for each field, preventing lower-priority sources from overwriting authoritative data.

Args: table: Filter by CI class table name (e.g. cmdb_ci_server). Optional — omit to list rules for all classes. active_only: If True, return only active rules. Defaults to True. limit: Maximum rules to return (1-1000, default 25). offset: Pagination offset.

Returns: JSON object with "count" and "reconciliation_rules" list containing name, applies_to table, source, priority, attributes, and active status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableNo
active_onlyNo
limitNo
offsetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true. The description adds value by explaining the conceptual behavior (how rules work) and the return format. It does not introduce contradictions or undisclosed traits, but also doesn't detail edge cases or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a concise opening, concept explanation, parameter documentation, and return format. Every sentence adds value without redundancy, making it easy for an agent to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool complexity (4 parameters, no required, no enums) and the presence of an output schema, the description fully covers all necessary information: all parameters, their meanings, constraints, and the return structure. It is complete for correct agent invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description provides comprehensive parameter documentation in the Args section, including purpose, defaults, constraints (e.g., limit range 1-1000), and optionality. This fully compensates for the missing schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('CMDB IRE reconciliation rules'). It explains the domain (CMDB IRE) and distinguishes the tool from siblings like get_identification_rules by focusing on reconciliation rules and their role in conflict resolution.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains what reconciliation rules are and their purpose, but it does not provide explicit guidance on when to use this tool versus alternatives like get_identification_rules or get_discovery_status. The usage context is implied but not directly addressed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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