supercollider-mcp
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
The two tools have clearly distinct purposes: multi-synth-execute runs multiple SynthDefs simultaneously, while synth-execute generates and executes code for a single SynthDef to produce sound. There is no overlap or ambiguity between these 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. The naming is predictable and coherent throughout the set.
Tool Count2/5With only 2 tools, the server feels thin for a domain like SuperCollider audio synthesis, which typically involves more operations such as defining, modifying, stopping, or querying synths. The count is too low for comprehensive coverage of the apparent scope.
Completeness2/5The tool set is severely incomplete for audio synthesis workflows; it lacks essential operations like creating or loading SynthDefs, stopping or freeing synths, controlling parameters, or managing audio server state. This will likely cause agent failures in typical use cases.
Average 2.9/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
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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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool executes multiple SynthDefs simultaneously but does not cover critical aspects like whether this is a read-only or destructive operation, error handling, concurrency limits, or what happens after execution (e.g., resource cleanup). For a tool with no annotations, this leaves significant gaps in understanding its behavior.
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 without unnecessary words. It is front-loaded with the core action and resource, making it easy to understand quickly. There is no wasted text, and it fits well within a concise format.
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 involves executing multiple audio synthesis definitions (a potentially complex operation), no annotations, and no output schema, the description is insufficient. It lacks details on behavioral traits (e.g., side effects, error handling), output expectations, or performance implications. For a tool with these contextual factors, more completeness is needed to guide effective use.
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%, with clear descriptions for both parameters ('synths' as a list of synths to play and 'duration' as playback time in milliseconds with a default). The description does not add meaning beyond the schema, such as explaining interactions between parameters or usage examples. With high schema coverage, the baseline score of 3 is appropriate as the schema adequately documents parameters without extra value from the description.
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 'Execute multiple SynthDefs simultaneously') and identifies the resource (SynthDefs). It distinguishes from the sibling tool 'synth-execute' by specifying 'multiple' execution, though not explicitly contrasting with the sibling's likely single execution. The purpose is specific but could be more explicit about the sibling differentiation.
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, such as the sibling 'synth-execute'. It does not mention prerequisites, exclusions, or contextual factors like performance considerations for multiple executions. Usage is implied only by the tool name and description, lacking explicit when/when-not instructions.
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. It mentions code generation and sound execution but lacks critical behavioral details: whether this is a read-only or mutating operation, what permissions might be needed, whether it has side effects, what happens on failure, or any rate limits. The description states what the tool does but not how it behaves operationally.
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 appropriately concise with two sentences that each serve a purpose: the first states the core functionality, the second provides a formatting requirement. It's front-loaded with the main purpose. While efficient, it could potentially benefit from slightly more context given the complexity of audio synthesis execution.
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, no output schema, and a tool that executes code to produce sound (potentially complex with side effects), the description is insufficiently complete. It doesn't explain what happens after execution, error conditions, return values, or system implications. For a code execution tool in an audio context, more behavioral context is needed for safe and effective use.
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%, providing good documentation for both parameters (synth object with name/code, and duration with default). The description adds minimal parameter semantics beyond the schema - it mentions code wrapping in {} which relates to the 'code' parameter but doesn't elaborate on format or constraints. This meets the baseline for high schema coverage where the schema does most of the work.
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). It specifies both the generation and execution actions with the resource being sound/synth. However, it doesn't explicitly differentiate from its sibling 'multi-synth-execute' - while 'execute' vs 'multi-execute' suggests single vs multiple, this distinction isn't stated in the description itself.
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: 'コードは{}でくくるようにしてください' (Wrap code in {}). This gives a formatting requirement but no context about when to use this tool versus alternatives like 'multi-synth-execute'. There's no mention of prerequisites, appropriate scenarios, or explicit exclusions. The guidance is purely syntactic rather than contextual.
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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