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AIWerk

@aiwerk/mcp-server-ghl

by AIWerk

agent_studio_create_agent

Create a new agent in GoHighLevel by specifying status, version, and optional attributes like name, description, and location.

Instructions

Create Agent

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoName of the agent
edgesNoEdges array (deprecated, prefer using version.edges)
nodesNoNodes array (deprecated, prefer using version.nodes)
sourceNo
statusYesStatus of the agent
versionYesVersion data for the agent including nodes, edges, and configuration
agencyIdNoAgency ID
authorIdNoAuthor ID
authorNameNoAuthor name
locationIdNoLocation ID Defaults to GHL_LOCATION_ID when omitted.
authorEmailNoAuthor email
descriptionNoDescription of the agent
Behavior1/5

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

The description adds no behavioral context beyond the annotations. Annotations indicate readOnlyHint=false and destructiveHint=false, but the description does not disclose side effects, required permissions, idempotency concerns, or any consequences of creation. It offers no value beyond generic labels.

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

Conciseness2/5

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

The description is under-specified rather than concise. It consists of two words that add no information. While it is not verbose, it fails to earn its place because it merely repeats the tool name. True conciseness would pack value into few words; this lacks substance entirely.

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

Completeness1/5

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

With 12 parameters, a nested version object, no output schema, and multiple sibling create tools, the description is severely incomplete. An agent cannot be created correctly without knowing the structure, required fields, or expected behavior. The description offers no guidance whatsoever.

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 92%, so the baseline is 3. The description itself adds no parameter insight, but the schema already documents all properties adequately. Since no additional meaning is needed and none is provided, the baseline holds.

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

Purpose1/5

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

The description 'Create Agent' is a tautology that merely restates the tool name. It fails to specify what an agent is in this context, what creating one entails, or how it differs from sibling tools like conversation_ai_create_agent and voice_ai_create_agent. No differentiation is provided.

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

Usage Guidelines1/5

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

There is zero guidance on when to use this tool versus alternatives. Multiple create-agent tools exist across domains (agent_studio, conversation_ai, voice_ai), but the description does not mention any selection criteria, prerequisites, or typical use cases.

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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