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gologinapp

GoLogin MCP

Official
by gologinapp

post_ai_chat_stream

Stream AI-driven chat responses to manage and automate GoLogin browser profiles. Send conversation history and enable streaming for real-time interactions.

Instructions

POST /ai/chat/stream

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messagesYesArray of chat messages representing the conversation history
streamNoWhether to use streaming response
Behavior1/5

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

With no annotations provided, the description carries full burden for behavioral disclosure but offers none. It doesn't indicate whether this is a read or write operation, what permissions are required, whether it's idempotent, what side effects occur, or how the streaming response behaves. The description fails to provide any behavioral context.

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?

While technically concise with just three words, this represents severe under-specification rather than effective brevity. The description fails to communicate essential information and doesn't front-load any meaningful context about the tool's purpose.

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?

For a tool with 2 parameters, no annotations, and no output schema, the description is completely inadequate. It provides no information about what the tool does, how to use it, what behavior to expect, or what results it returns, failing to compensate for the lack of structured metadata.

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 the schema fully documents both parameters (messages array and stream boolean). The description adds no additional parameter information beyond what the schema provides, which meets the baseline expectation when schema coverage is complete.

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 'POST /ai/chat/stream' is a tautology that merely restates the tool name and HTTP method without explaining what the tool actually does. It provides no verb or resource context, making it impossible to distinguish this tool from its many sibling POST tools on the server.

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?

No guidance is provided about when to use this tool versus alternatives. The description offers no context about appropriate use cases, prerequisites, or comparisons with other tools, leaving the agent with no usage direction.

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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