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List workflows

list_workflows
Read-onlyIdempotent

List the organization's saved workflows (reusable run definitions). Each entry has the workflow's name and, when set, its description, input_schema (the shape of the input create_run expects) and output_schema (the shape of the JSON it returns), so you can call a workflow without reading its prompt. Run one with create_run and its name.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so safety is covered. The description adds genuinely new behavioral context: exactly which fields each entry carries and, importantly, that the input_schema reflects what create_run expects — information not present in annotations or the (empty) input schema.

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

Conciseness4/5

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

Two sentences, front-loaded with the core action and scope, with no filler. The second sentence is dense but the parenthetical definitions of input_schema/output_schema earn their space by tying the output to create_run's contract.

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?

There is no output schema, so the description must describe return values — and it does, enumerating the entry fields and the optionality of description/schemas. Minor gaps remain (ordering, whether all workflows are always returned, empty-list behavior), but for a zero-parameter read-only list tool this is sufficient to call correctly.

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

Parameters4/5

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

The tool takes zero parameters, which sets a baseline of 4. The description goes slightly further by documenting the fields of each returned entry (name, description, input_schema, output_schema) and what those schemas mean in practice, though with no parameters there is nothing else to disambiguate.

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?

States a specific verb and resource ("List the organization's saved workflows") and immediately clarifies the domain term with a parenthetical ("reusable run definitions"). It also distinguishes the tool's output from an execution tool by pointing to create_run, so an agent can tell it apart from get_workflow and create_run without opening a schema.

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?

Gives a clear usage context: use this to discover workflows and their schemas "so you can call a workflow without reading its prompt," then run one with create_run by name. It stops short of naming when to prefer get_workflow for a single workflow or when listing is unnecessary, so it is clear context without 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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