SuperCollider MCP Server
Server Quality Checklist
Latest release: v0.2.0
- Disambiguation5/5
The two tools have clearly distinct purposes: multi-synth-execute handles multiple SynthDefs simultaneously, while synth-execute focuses on generating and executing code for a single SynthDef. There is no overlap or ambiguity between their functions.
Naming Consistency5/5Both tools follow a consistent verb_noun pattern with hyphen separation (multi-synth-execute and synth-execute), using the same root terms and structure. This makes them predictable and easy to understand.
Tool Count2/5With only two tools, the server feels under-scoped for a domain like SuperCollider, which typically involves complex audio synthesis and manipulation. This limited set may not cover essential operations like parameter adjustment, effect chaining, or file management.
Completeness2/5The tool surface is severely incomplete for audio synthesis workflows. It lacks basic operations such as stopping synths, modifying parameters, loading/saving definitions, or managing audio output, which are critical for practical use in this domain.
Average 2.9/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
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How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It states the action but doesn't describe what happens during execution (e.g., audio playback, server-side processing), error handling, side effects, or performance characteristics. 'Executes' is vague without context about the execution environment or outcomes.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence in Japanese that directly states the tool's purpose. There's no wasted verbiage or redundant information. It's appropriately sized for a simple tool with good schema coverage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations and no output schema, the description is incomplete for a tool that performs execution. It doesn't explain what SynthDefs are, what execution entails (e.g., audio synthesis, server commands), return values, or error conditions. For a tool with potential audio/processing implications, more context is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents both parameters (synths array with name/code objects, duration with default). The description adds no parameter-specific information beyond implying multiple SynthDefs via '複数の', which aligns with the synths array parameter. Baseline 3 is appropriate when schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('複数のSynthDefを同時に実行します' translates to 'executes multiple SynthDefs simultaneously') and identifies the resource (SynthDefs). It distinguishes from the sibling tool 'synth-execute' by specifying multiple rather than single execution. However, it doesn't specify what SynthDefs are (audio synthesis definitions in SuperCollider) or what 'executes' entails concretely.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does 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. It doesn't mention the sibling tool 'synth-execute' or explain scenarios where batch execution is preferable to single execution. There's no information about prerequisites, dependencies, or typical use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. While it mentions code generation and sound execution, it lacks critical details: whether this is a read-only or mutating operation, what permissions are required, whether it has side effects, error handling, or what happens after execution. The description doesn't adequately compensate for the absence of annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with two sentences that directly address the tool's function and a formatting requirement. It's appropriately sized without unnecessary elaboration, though it could be slightly more structured by separating usage instructions from core functionality.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (code generation and execution with sound output), absence of annotations, and no output schema, the description is insufficient. It doesn't explain what happens after execution, what the return values might be, error conditions, or how the generated sound interacts with the system. For a tool that presumably produces audio output, this leaves significant gaps in understanding.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description doesn't explicitly mention any parameters, but the schema has 100% coverage with clear descriptions for both 'synth' (object with name and code) and 'duration' (playback time in milliseconds). Since schema coverage is high, the baseline score of 3 is appropriate as the description doesn't add meaningful parameter semantics beyond what the schema already provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'SynthDefのコードを生成し、そのコードを実行して音を出します' (Generate SynthDef code and execute that code to produce sound). This specifies both the verb (generate and execute) and resource (SynthDef code/sound), though it doesn't explicitly differentiate from the sibling 'multi-synth-execute' tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides minimal usage guidance with the instruction 'コードは{}でくくるようにしてください' (wrap the code with {}), but offers no context about when to use this tool versus the sibling 'multi-synth-execute' or any other alternatives. There's no mention of prerequisites, constraints, or typical scenarios for application.
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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