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Venice MCP Server

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by veniceai

Venice Model Traits

venice_model_traits
Read-onlyIdempotent

Get live trait-name-to-model-id mappings for a Venice model type, defaulting to text, so you can resolve model identifiers for API calls.

Instructions

Return the live trait-name to model-id mapping for a model type. The API defaults to text when type is omitted. No authentication required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoCatalog type: text, image, inpaint, upscale, video, music, tts, asr, embedding, decision. Defaults to text upstream.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.3.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds two useful behavioral facts beyond them: the mapping is "live" (not cached) and "No authentication required." It does not describe the response shape or size, so this is solid but not rich.

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?

Three short sentences, front-loaded with the purpose, then the default, then the auth note. Every sentence carries a distinct fact and nothing is padded.

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?

With no output schema, the description carries the burden of explaining the return value, and it does so adequately ("trait-name to model-id mapping"). But for a catalog-inspection tool with many sibling metadata tools, it lacks any routing guidance, leaving a real gap.

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% and the single parameter is fully documented in the schema, including the "Defaults to text upstream" note that the description merely restates. Baseline 3 applies since the schema does the heavy lifting and the description adds no new parameter meaning.

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?

States a specific verb and resource: "Return the live trait-name to model-id mapping for a model type." An agent knows what it fetches. However, it never distinguishes itself from sibling model-metadata tools like venice_model_details, venice_list_models, or venice_model_compatibility_mapping.

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?

No when-to-use guidance and no named alternatives. The only context given is an upstream default, which is a parameter behavior rather than a usage rule. An agent cannot tell from this text when to prefer it over venice_model_details or venice_model_compatibility_mapping.

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