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Agent One

List agents

list_agents
Read-onlyIdempotent

List the AI agents in the connected Agent One account with their IDs, whether each is published, its site (name and ID), its public page URL when published, and its publishUrl, where the owner previews and publishes it in Agent One. The returned IDs work with the other Agent One tools.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
agentsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and a non-open world, so the safety profile is fully covered. The description adds genuinely new context by explaining that publishUrl is where the owner previews and publishes, and that IDs are reusable across the other Agent One tools. However, it says nothing about result volume, ordering, or behavior with large accounts.

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?

It is a single front-loaded sentence that immediately names the resource and the scope, followed by a short interoperability note. The comma-delimited field list is dense but each item earns its place by telling the agent what to expect in the response; minor trimming would improve scanability.

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?

With no inputs, full annotation coverage, and an output schema that carries the return shape, little is required. The description still adds value by flagging account scoping and ID reuse across sibling tools, though it omits ordering and volume expectations for what could be a long list.

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, so there is no argument semantics to explain; the baseline is 4. The description correctly signals a no-input call by naming the only scope determinant, the connected Agent One account.

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 opens with a specific verb and resource ("List the AI agents in the connected Agent One account") and enumerates the returned fields, so the agent knows exactly what it gets back. It does not differentiate from the closest sibling, get_agent, or explain why one would list versus fetch a single agent.

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?

Usage is only implied: an agent can infer this is the discovery call to make before invoking get_agent or update_agent_instructions. There is no explicit 'use this when...' statement, no exclusion of get_agent for single-agent lookups, and no note about account scope or prerequisites.

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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