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ejwhite7

@b2b-saas-inc/olli-mcp-server

avatar_chat

Send messages to an AI brand avatar within a workspace to interact with a branded conversational AI. Continue existing conversations by providing a conversation ID.

Instructions

Chat with the AI brand avatar

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspace_idYesWorkspace slug or UUID
messageYesMessage to send to the avatar
conversation_idNoExisting conversation UUID to continue
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only states the action without detailing side effects (e.g., whether a conversation is created or modified), required permissions, error behavior, or response format.

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 extremely concise, consisting of a single sentence that conveys the core purpose. It is front-loaded with the verb and resource, but could benefit from a brief elaboration on behavior or return values without sacrificing brevity.

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?

Given the absence of an output schema and the interactive nature of a chat tool, the description should clarify what the tool returns (e.g., the avatar's reply), how conversation context is managed, and whether it requires an existing conversation or creates a new one. This is missing.

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?

All three parameters (workspace_id, message, conversation_id) are described in the input schema with 100% coverage. The description adds no additional meaning beyond the schema, so the baseline score 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 clearly identifies the action ('Chat') and the resource ('AI brand avatar'), providing a clear sense of what the tool does. However, it does not differentiate from related sibling tools like get_avatar_conversation or list_avatar_conversations, leaving ambiguity about the unique scope of this tool.

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 get_avatar_conversation or reply_to_linkedin_conversation. There is no mention of prerequisites, context, or scenarios where this tool is appropriate.

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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