Venice Chat (LLM)

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

No annotations provided, so description carries full burden. It discloses authentication methods ('x402 wallet auth' and API key) and uncensored nature, but omits details about output format, streaming, rate limits, or error handling. The 'OpenAI-compatible' comparison helps but is vague.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, no filler. First sentence states purpose, second highlights uncensored feature, third covers auth. Information is front-loaded and efficient.

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

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

Complex tool (chat completion with 6 parameters, no output schema, no annotations) but description only covers auth and censoring. Missing details on response format, model selection guidance, streaming, or cost. Not sufficient for an agent to use reliably.

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

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

Schema description coverage is low (33% - only model and messages have descriptions). Description adds default model info and implies messages can contain NSFW content, but does not explain stop, top_p, max_tokens, or temperature. Agent cannot infer meaning for 4 of 6 parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool runs 'OpenAI-compatible chat completion' via an 'uncensored LLM catalog', listing many models. It distinguishes from siblings like venice_chat_with_character (character-based) and venice_list_models, but could be more explicit about differentiation from venice_responses.

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

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

Description notes 'Uncensored: NSFW prompts allowed', providing a key usage condition, but does not explicitly state when to use this tool versus alternatives like venice_chat_with_character. Usage is implied rather than guided.

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