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veniceai

Venice MCP Server

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by veniceai

Venice Responses API

venice_responses

Send prompts to Venice's uncensored AI models using the Responses API. Supports multi-turn conversations and tool use with no content restrictions.

Instructions

OpenAI-compatible Responses API. Single-turn or multi-turn with tool support. Uncensored: NSFW prompts allowed where the model permits. Supports x402 wallet auth (no Venice account needed) and API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesEither a plain string or an array of role+content messages.
modelNo
temperatureNo
max_output_tokensNo
Behavior3/5

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

Without annotations, the description adds behavioral context such as 'uncensored' (NSFW allowed) and authentication methods (x402 wallet auth and API key). However, it lacks details on response format, streaming, error handling, or rate limits.

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 concise with two sentences, front-loading the key purpose. It efficiently conveys essential info without unnecessary words.

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?

With 4 parameters, no output schema, and no annotations, the description is incomplete. It does not explain response behavior, default values, or how tool calling works, leaving significant gaps for an AI agent.

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 low (25%), and the description adds no meaning for parameters like model, temperature, or max_output_tokens beyond what the schema provides. It mentions 'tool support' but does not explain any tool-related parameter.

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 states it is an 'OpenAI-compatible Responses API' for single-turn or multi-turn interactions with tool support, providing a specific verb and resource. However, it does not differentiate itself from sibling tools like venice_chat or venice_chat_with_character.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for API-compatible calls and mentions authentication options, but it provides no explicit guidance on when to use this tool over alternatives. No when-not-to-use or exclusion criteria are given.

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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