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veniceai

Venice MCP Server

Official
by veniceai

Venice Model Details

venice_model_details
Read-onlyIdempotent

Fetch one exact model's full catalog row by model ID and catalog type to review its specs, capabilities, and pricing when available.

Instructions

Get one exact model's full catalog row, including model_spec constraints, capabilities, and pricing when available. Requires a concrete type to keep the upstream catalog response bounded. No authentication required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesCatalog type the model belongs to: text, image, inpaint, upscale, video, music, tts, asr, embedding, decision.
model_idYesExact model id, e.g. from venice_list_models({ type: "video" }).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.3.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so safety is covered. The description still adds real context: it is unauthenticated and only returns pricing 'when available', which the annotations do not say.

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

Conciseness5/5

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

Three tight sentences, front-loaded with the return payload, followed by the parameter rationale and the auth note. No filler and nothing repeated from title or schema.

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

Completeness4/5

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

With no output schema, the description correctly carries the burden of describing the return payload and its conditionality ('pricing when available'), plus auth status. It stops short of noting error behavior for an unknown model_id/type pair, which is the only real gap.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds rationale the schema lacks: the 'type' parameter is required to keep the upstream catalog response bounded. That explains motivation without merely restating the field set.

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

Purpose5/5

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

The description uses a specific verb and resource ('Get one exact model's full catalog row') and enumerates the payload contents (model_spec constraints, capabilities, pricing). It is clearly distinguishable from the sibling venice_list_models, which returns many rows rather than one.

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?

It implies the lookup use case ('one exact model') and the schema example points back to venice_list_models({type: "video"}), but the description itself never states when to prefer this over venice_list_models or venice_model_traits. Usage is inferable rather than explicit.

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