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now-sdk-ext-mcp

now-sdk-ext-mcp

by sonisoft-cnanda
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

List Update Sets

list_update_sets
Read-only

List update sets on a ServiceNow instance with optional filtering by query, fields, and limit to retrieve only the records you need.

Instructions

List update sets on the instance with optional filtering.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_update_sets"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum number of update sets to return. Defaults to 50, max 500.
queryNoEncoded query for filtering update sets (e.g., "state=in progress").
fieldsNoComma-separated list of fields to return (e.g., "sys_id,name,state,description").
instanceNoThe ServiceNow instance auth alias to connect to. This is the alias configured via `snc configure` (e.g., "myinstance", "prod", "test"). The user will typically refer to this by name when saying things like "on my myinstance instance". If not provided, falls back to the SN_AUTH_ALIAS environment variable.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.5.1

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, which covers the safety profile. The description adds the notion of optional filtering but does not disclose pagination, ordering, or response format. It does not contradict annotations.

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 a single sentence, front-loaded with the verb and resource, and contains no unnecessary words. It is highly concise and well-structured.

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 tool's simplicity, the description, schema, and annotations are sufficient. The schema covers all parameters, annotations cover safety, and the description states the operation. The lack of an output schema is acceptable since the return type (list of update sets) is implied.

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?

All four parameters have descriptions in the schema, so coverage is 100%. The tool description only references 'optional filtering' which maps to the query parameter, but adds no extra details beyond what the schema already provides.

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 action ('List'), the resource ('update sets'), and scope ('on the instance'), and mentions optional filtering. This distinguishes it from sibling tools like create_update_set, inspect_update_set, or get_current_update_set.

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

Usage Guidelines4/5

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

The description conveys a clear use case: listing update sets with optional filtering. However, it does not explicitly mention when not to use it or name alternatives, so it lacks explicit exclusions.

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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