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drkavner

ghl-internal-cli

by drkavner

ghl_agent_studio_execute_agent

Execute an AI agent in GoHighLevel's Agent Studio by sending a message with agent and location IDs to receive an automated response.

Instructions

Execute an AI agent and get a response

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdYesAgent ID to execute
messageYesMessage to send
locationIdYesLocation ID (uses GHL_LOCATION_ID if omitted)
executionIdNoSession ID (optional)
Behavior2/5

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

With no annotations provided, the description carries full burden. It only says 'execute' and 'get a response' without disclosing side effects, permissions, error behavior, or whether the operation is asynchronous. No insight into what happens to the agent or the session is given.

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, direct sentence that efficiently states the action and expected result. There is no redundant or filler content.

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

Completeness2/5

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

The tool has four parameters, three required, no output schema, and no annotations, but the description is minimal. It does not explain when the tool is appropriate, what the response contains, or any operational caveats. The schema covers parameter syntax but not the broader operational context, leaving the description incomplete for an action with potential side effects.

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 parameters are already well documented in the schema. The description does not add any additional meaning beyond what the schema provides, so a baseline of 3 is appropriate.

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 uses the specific verb 'Execute' and identifies the resource 'AI agent', making the core action clear. However, it does not differentiate among the multiple agent-related sibling tools (e.g., Agent Studio vs. Conversation AI vs. Voice AI), so it lacks full sibling distinction.

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 such as creating or retrieving agents, or using the Conversation AI or Voice AI agents. It neither explicitly states usage scenarios nor names exclusions 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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