Skip to main content
Glama
AIWerk

@aiwerk/mcp-server-ghl

by AIWerk

conversation_ai_delete_action

DestructiveIdempotent

Delete an action attached to a GoHighLevel AI agent by providing the action ID and agent ID, removing it from the agent's configuration.

Instructions

Remove Action from Agent

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdYes
actionIdYesThe unique identifier of the action ID Attached to the agent
Behavior3/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=true, so the description's 'Remove' aligns without contradiction. However, the description adds no extra behavioral context, such as permanence, impact on related data, or error handling. Since annotations cover the destructive nature, the description does not need to restate it, but it also fails to provide any new details beyond what the structured metadata already conveys.

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, direct sentence with no filler or redundancy. It is front-loaded with the core action and resource, which is appropriately concise for such a simple operation. However, it could have included a brief note about the required IDs without losing conciseness, but as it stands, it is neither verbose nor under-specified to a fault.

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

Completeness3/5

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

For a straightforward delete operation, the description is reasonably complete, especially given that annotations cover destructive behavior and idempotency. However, it does not mention return values (though there's no output schema anyway) or any side effects like permanent removal or cascading effects. The lack of detail about agentId's meaning and the absence of an output schema leave some ambiguity, but it's acceptable for a simple tool.

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

Parameters2/5

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

Schema coverage is 50% — only actionId has a description, while agentId has none. The description does not compensate for this gap; it merely states the action without clarifying what agentId refers to or how it relates to the action. Given the medium coverage, the description should have added meaning for the undocumented parameter, but it does not.

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 'Remove Action from Agent' clearly states a specific verb ('Remove') and a precise resource ('Action from Agent'), making the tool's purpose unmistakable. It naturally distinguishes itself from sibling tools like conversation_ai_create_action (create) and conversation_ai_update_action (update), and even from conversation_ai_delete_agent (which deletes the agent itself).

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 explicit guidance on when to use this tool versus alternatives, such as prerequisites (e.g., the action must exist) or when to choose a different operation (e.g., update instead of delete). While the verb and resource imply usage, there's no mention of exclusions or conditions, leaving the agent to infer context from sibling names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AIWerk/mcp-server-ghl'

If you have feedback or need assistance with the MCP directory API, please join our Discord server