Skip to main content
Glama

list_subflows

Discover reusable subflows for ServiceNow Flow Designer to streamline automation by searching, filtering active components, and managing workflow building blocks.

Instructions

List available subflows that can be reused across flows

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch subflows by name
activeNoFilter to active subflows only (default true)
limitNoMax records to return (default 50)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool lists subflows but doesn't disclose behavioral traits such as whether it's read-only (implied by 'list'), pagination behavior (only hints via 'limit' parameter), authentication requirements, rate limits, or what the output looks like (no output schema). For a list operation with zero annotation coverage, this is insufficient.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, with every part contributing value. There is no wasted verbiage or structural issues.

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

Completeness3/5

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

Given the tool's moderate complexity (a list operation with filtering parameters), the description is minimally adequate. It lacks output schema, and with no annotations, it doesn't fully cover behavioral aspects. However, the purpose is clear, and the schema covers parameters well. It meets the minimum viable standard but has clear gaps in usage and transparency.

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 description coverage is 100%, so the schema already documents all three parameters (query, active, limit) with descriptions. The tool description adds no additional parameter semantics beyond what's in the schema. According to the rules, when schema coverage is high (>80%), the baseline score is 3 even with no param info in the description.

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

Purpose4/5

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

The description clearly states the tool's purpose: 'List available subflows that can be reused across flows'. It specifies the verb ('List') and resource ('subflows'), and mentions their reusability. However, it doesn't explicitly differentiate from sibling tools like 'get_subflow' (which likely retrieves a specific subflow) or 'create_subflow'.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, compare it to similar tools like 'get_subflow' or 'list_flows', or indicate scenarios where listing subflows is appropriate. The agent must infer usage from the name and context alone.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/aartiq/servicenow-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server