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ghl-internal-cli

by drkavner

ghl_conversation_ai_update_agent

Update a Conversation AI agent's name or status by supplying the agent ID. Provide optional new values to modify agent configuration through GoHighLevel's internal API.

Instructions

Update a Conversation AI agent

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdYesAgent ID
agentNameNoNew agent name (optional)
agentStatusNoNew status (e.g., 'active', 'paused')
Behavior2/5

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

No annotations exist, so the description carries the full burden. It only says 'update,' without disclosing side effects, partial vs. full update behavior, required permissions, or any post-update effects. This is insufficient for a mutation tool.

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?

The description is a single, front-loaded sentence with no wasted words. However, it is so brief that it provides minimal value beyond the tool's name, though this is acceptable for a simple update operation.

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?

For a mutation tool with no annotations or output schema, the one-sentence description is insufficient. It does not explain what happens when the update succeeds, what the response contains, or any prerequisites, leaving the agent with significant uncertainty.

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 coverage is 100% with descriptions for all three parameters, so the baseline is 3. The description itself adds no extra parameter information beyond what the schema already provides.

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?

The description clearly specifies a 'Update' action on a 'Conversation AI agent' resource, which is distinct from sibling tools like create, get, and delete. It precisely matches the tool's function.

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?

No guidance is given on when to use this tool versus alternatives like ghl_conversation_ai_create_agent or ghl_agent_studio_get_agents. The description merely states the action, implying use only if the agent already exists, but offers no explicit context or 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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