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williamzujkowski

Strudel MCP Server

quantize

Align musical patterns to a specified rhythmic grid by adjusting timing to match divisions like 1/16 notes, ensuring precise synchronization in live coding and music generation workflows.

Instructions

Quantize to grid

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gridYesGrid size (e.g., "1/16")

Implementation Reference

  • Schema and registration for the 'quantize' MCP tool, defining input as grid size string. No handler implementation found in executeTool switch statement.
    {
      name: 'quantize',
      description: 'Quantize to grid',
      inputSchema: {
        type: 'object',
        properties: {
          grid: { type: 'string', description: 'Grid size (e.g., "1/16")' }
        },
        required: ['grid']
      }
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Quantize to grid' implies a mutation operation (adjusting timing), but it doesn't specify whether this is destructive, reversible, requires specific state, or has side effects. For a tool with no annotation coverage, this is a significant gap in transparency.

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?

The description is extremely concise at three words, with zero wasted language. It's front-loaded and efficiently communicates the core action, though this brevity comes at the cost of clarity and completeness.

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?

Given the lack of annotations and output schema, and the description's vagueness about what gets quantized and how, this is incomplete for a tool likely involving audio/musical data manipulation. It doesn't explain the resource affected, return values, or behavioral implications, leaving critical gaps for an agent.

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?

The input schema has 100% description coverage, with the 'grid' parameter clearly documented as 'Grid size (e.g., "1/16")'. The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline of 3 for high schema coverage without compensating value.

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

Purpose2/5

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

The description 'Quantize to grid' is a tautology that essentially restates the tool name 'quantize' without specifying what resource or context it operates on. While 'to grid' hints at musical quantization, it doesn't distinguish this tool from siblings like 'humanize' or clarify what exactly gets quantized (notes, timing, patterns).

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

Usage Guidelines1/5

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

The description provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites, context (e.g., after recording or before playback), or comparison to sibling tools like 'humanize' (which might do the opposite). Without this, an agent cannot make informed decisions about tool selection.

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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