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create_update_set

Create a named package to capture all configuration changes for migration, enabling review and deployment across ServiceNow instances.

Instructions

Create a ServiceNow Update Set before starting any migration setup. An Update Set captures all configuration changes (staging tables, transform maps, field maps, scripts, etc.) into a named package that can be reviewed, exported, and deployed to other ServiceNow instances (e.g. from dev → test → production).

IMPORTANT: Always ask the user for a name before calling this tool. A good name includes the source platform, project/object, and date — e.g.: "Jira KAN Migration - June 2026" "Salesforce Account Migration - v1"

Call this after connect() and before build_artifacts() so all artifacts created during setup are captured in the update set.

Also use list_update_sets to show existing in-progress update sets in case the user wants to reuse one instead of creating a new one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName for the update set — ask the user for this before calling
descriptionNoOptional description of what this update set contains
Behavior4/5

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

With no annotations, the description carries the full burden. It explains the function (captures config changes into a named package) and its role in the migration workflow. However, it does not detail potential side effects, permissions, or error states, though the creation action is inherently non-destructive.

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 concise yet complete, front-loaded with the purpose, uses bold for important notes, and provides examples and workflow sequencing without extraneous text.

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

Completeness4/5

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

Given the simplicity of the tool (2 params, no output schema), the description adequately covers purpose, usage sequence, and naming conventions. It could mention return values or confirmation, but it is otherwise well-rounded.

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

Parameters3/5

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

Schema coverage is 100%, so baseline is 3. The description reinforces the name parameter with examples and the instruction to ask the user, adding some value beyond the schema, but not significantly.

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?

Clearly states the tool creates a ServiceNow Update Set for capturing migration changes. Differentiates from siblings like list_update_sets and complete_update_set by specifying the role in the workflow (after connect, before build_artifacts).

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

Usage Guidelines5/5

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

Explicitly tells when to use (before migration setup, after connect, before build_artifacts), when not to (if an existing update set can be reused, use list_update_sets instead), and includes a critical instruction to ask the user for a name. Provides naming examples.

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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