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sandraschi

vcv-rack-mcp

by sandraschi

vcv_agentic_workflow

Automatically creates VCV Rack patches from a text brief by iteratively selecting, generating, validating, and retrying for a working result.

Instructions

SEP-1577 sampling loop: brief -> catalog selection -> generate -> validate -> retry (max 3).

Uses ctx.sample when available for autonomous iteration. Falls back to structured result with recovery_options for hosts without sampling.

Return Format

{"success": bool, "patch_id": str, "iterations": int, "report": list}

Examples

vcv_agentic_workflow(brief="slow ambient drone, two detuned voices, filtered noise swells, big reverb")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ctxNo
briefYes
personaNogenerative
max_iterationsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Behaviors are well-documented: iterative loop with max 3 retries, conditional use of ctx.sample, and fallback to structured results. The return format is given. Without annotations, the description carries full burden and does so adequately.

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?

Description is concise with bullet points and structured sections. Front-loaded with the loop steps. Slightly under-explains parameters but overall efficient. Could be slightly more structured.

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?

For a tool with 4 parameters and no annotations, the description covers the workflow and return type. However, it omits explanations for optional parameters (persona, max_iterations) and the ctx parameter, which are part of the context. The example is helpful but incomplete.

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

Parameters1/5

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

Schema description coverage is 0%; the description does not explain any parameter beyond the example showing 'brief'. Parameter semantics for ctx, persona, and max_iterations are left to the schema, which only provides names and defaults. The example is minimal.

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?

Description clearly defines the tool as a multi-step sampling loop (brief to catalog to generate to validate to retry). The return format and example make the purpose explicit. It distinguishes from sibling tools, which are single-purpose (status, catalog, live, patch), by being an agentic workflow that combines steps.

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 explicit guidance on when to use this tool versus alternatives (e.g., vcv_patch for direct manipulation). The description mentions fallback behavior for hosts without sampling, but does not provide usage context or prerequisites.

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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