VOCALOID MCP

Overview Schema Related Servers Score Discussions

Server Quality Checklist

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Latest release: v1.0.0
Disambiguation5/5
Each tool targets a unique, specific operation within the VOCALOID workflow, from host readiness and voice probing to rendering, editing, and review. There is no overlap or ambiguity between tool purposes.
Naming Consistency5/5
All tools follow a consistent 'vocaloid_<verb>_<noun>' snake_case pattern, with clear action words and descriptive nouns. No mixing of conventions.
Tool Count5/5
22 tools is well-scoped for a comprehensive VOCALOID workflow, covering all major aspects without being excessive or insufficient.
Completeness5/5
The tool set covers the full lifecycle of VOCALOID project management: inspection, creation, editing, rendering, analysis, review, and delivery. No obvious gaps exist.
Average 3.3/5 across 22 of 22 tools scored. Lowest: 1.8/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 53 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.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add glama.json to the root of your repository:
```
{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "your-github-username"
  ]
}
```
Then . Browse examples.
Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

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?
Annotations are all false, and the description adds no behavioral detail. It does not state whether operations are idempotent, what side effects occur, or if permissions are needed. The description should compensate for sparse annotations but fails to do so.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is overly terse (one short sentence) and lacks structure. It is under-specified rather than concise, sacrificing informativeness for brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 3 parameters, nested objects, and an output schema, the description is severely incomplete. It omits return value info, action-specific behavior, and payload structure. The description does not enable effective tool usage.
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 only 33%, and the description provides no explanation of parameters. The action enum values are listed but not described. The payload description points to an external URI which is likely inaccessible to the agent. No additional meaning is added beyond the schema.
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 is vague: 'Append/resume, query, report, or publish decisions.' It lists actions but does not specify what a 'decision journal' is or how it relates to Vocaloid tasks. The resource is unclear, and the description does not differentiate from sibling tools which cover specific Vocaloid operations.
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 guidance is provided on when to use this tool versus alternatives. There are no exclusions or context for selecting a particular action or payload. The agent gets no help in deciding to invoke this tool.
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?
Annotations provide no hints (all false), and the description only states 'create', implying mutation but no further behavioral traits like idempotency, scope, or side effects. For a creation tool, more disclosure is needed.
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?
The description is a single efficient sentence with no wasted words. It front-loads the core action, though it could benefit from slightly more detail.
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?
The tool has 18 parameters, complex nested schemas, and an output format (response_format parameter), yet the description explains none of this. It fails to define what a 'canonical song manifest' is or how to use the output.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is only 28%, yet the tool description adds no additional context for parameters. It does not compensate for the low coverage, leaving many parameters (like 'song_id', 'sections', etc.) with only schema constraints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states it creates a canonical song manifest and mentions deriving artifacts later, clearly indicating the tool's primary function. However, it does not explicitly distinguish from siblings like 'vocaloid_build_song_manifest' beyond the workflow hint.
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 usage guidelines provided; no indication of when to use this tool vs alternatives (e.g., build workflow or inspect), and no prerequisites or exclusions.
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?
Annotations are all false, so description should disclose behavioral traits. It mentions 'verified immutable' but doesn't clarify whether restore is destructive or what side effects occur. 'Monotonically restore' is unexplained. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, no waste. Could be restructured for clarity (e.g., bullet list of actions) but remains concise.
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?
Tool supports three different actions but provides no way to specify which action to perform (no parameters). Output schema exists but description doesn't mention how actions are selected or what output to expect for each. Incomplete for a multi-action tool.
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?
Input schema has 0 parameters and schema coverage is 100%, so baseline is 4. No parameters to document; description doesn't need to add parameter information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description lists three actions (list, music-diff, restore) on manifest history, but uses jargon like 'music-diff' and 'monotonically restore' which lack clarity. It distinguishes from siblings as the only history tool but the exact purpose is vague.
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 guidance on when to use this tool versus alternatives. No context about prerequisites or typical use cases. The agent receives no help selecting this tool from the 20+ siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds the constraint 'metrics cannot self-approve', which is beyond annotations. Annotations are sparse (no readOnlyHint, etc.), so the description partly compensates but still lacks details on mutation scope, authorization, or rate limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, making it concise but lacking structure. The final clause 'metrics cannot self-approve' breaks flow and is somewhat cryptic. A slightly longer, more organized description would be clearer.
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 tool's complexity (9 parameters, nested objects, multiple actions, output schema), the description is too minimal. It doesn't explain the different actions, status filtering, or note structure. Sibling tools indicate a rich domain, yet no comparisons are provided.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With only 33% schema description coverage, the description should compensate but fails to explain key parameters like 'note', 'status', 'resolution', or 'manifest_path'. The phrase 'hash-bound keep/reject/revise evidence' touches on intent_fidelity but is insufficient for the nine parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description states 'List or persist qualitative listening notes' with specific reference to 'hash-bound keep/reject/revise evidence for phrase intent', clearly indicating the tool's purpose. However, it omits the 'resolve' action from the title, which is a minor gap in completeness.
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 like 'vocaloid_review_audio' or other sibling tools. The description does not provide context for choosing between actions or any prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations all false, so description carries the burden. It discloses dry_run behavior (returns hashes, diffs, etc. without writing), adding useful context. However, it does not describe what happens on actual write (e.g., persistence, reversibility, side effects), leaving gaps 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.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, very concise and front-loaded with the core action. However, it could be restructured to separate the dry_run description from the primary purpose for better readability. No wasted words, but slightly dense.
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 complexity (18 actions, nested payload, many sibling tools), the description is insufficient. It lacks information on output behavior for non-dry-run calls, error scenarios, prerequisites, and relationship to sibling tools. Even with an output schema, the description should provide more context for seamless invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is low (33%). The description adds no detail about the 'action' or 'payload' parameters beyond referencing an external contract. The 'response_format' parameter is not mentioned. The agent would need external documentation to understand the payload structure, and the description does not compensate for the sparse schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool applies a strict action payload from a specific contract, and distinguishes it from sibling tools by focusing on editing versus inspection or rendering. However, it relies on an external resource (vocaloid://edit-song-contract) for full clarity, which slightly reduces self-contained clarity.
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., preflight, inspect). The description does not provide criteria for choosing this tool over siblings or mention when not to use it. The dry_run behavior is implied but not explained as a conditional usage pattern.
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?
The description adds behavioral context: "verify the WAV" and "atomically record" suggest quality checks and transactional writes. However, it does not explain potential side effects (e.g., file overwrites), authorization needs, or error states. Annotations do not contradict but offer limited additional safety hints.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The single-sentence description is concise and front-loaded with the main action. However, it omits important usage context, making it minimally adequate but lacking completeness for an 10-parameter tool.
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 tool's complexity (10 parameters, 4 required) and the presence of an output schema, the description should clarify the workflow steps and parameter roles. It fails to provide sufficient context for an agent to decide whether to invoke this tool over alternatives or how to configure parameters.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 70%, but the description provides no per-parameter clarification beyond what is in the schema. With 10 parameters, agents would benefit from guidance on which are critical (e.g., required ones) or how they relate to the workflow.
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 states a specific verb ("Render") and resource ("VSQX"), followed by verification and recording steps. It clearly distinguishes from sibling tools like vocaloid_render_stem_mix which likely focus on stems rather than the full master artifact.
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. The description implies it is for final master output but does not mention prerequisites, exclusions, or comparison to similar tools like vocaloid_render_stem_mix or vocaloid_edit_song.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark the tool as non-read and non-destructive. The description adds value by stating no hidden normalization and that it records measured mix and filter graph. However, it does not disclose whether the operation is safe to rerun or what 'manifest automation/effects' entails.
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?
The description is a single sentence of 22 words, efficiently conveying the core function. It is front-loaded with the verb 'Render' and includes key modifiers. Could be slightly improved by breaking into two sentences for readability.
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 10 parameters (6 required), an output schema, and many sibling tools, the description is too brief. It fails to define 'verified stems', explain how to obtain stem_artifact_ids, or differentiate from similar render tools. Output schema exists but the description does not leverage it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With only 40% schema description coverage, the description adds minimal parameter-specific meaning. It relates 'verified stems' to manifest_path and stem_artifact_ids but does not explain expected_revision, output_path constraints, sample_rate, bit_depth, timeout_seconds, or response_format.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it renders verified stems through manifest automation/effects without hidden normalization and records measurements. It distinguishes from siblings like render_manifest_master by focusing on stem mix and reproducibility. However, it could be more explicit about the 'record the measured mix and filter graph' part.
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?
The description does not indicate when to use this tool versus alternatives like render_instrument_stems or render_vocal_stems. It lacks guidance on prerequisites (e.g., stems must be verified) or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Given all annotations are false, the description bears full responsibility. It discloses two-pass processing, risk reporting, and atomic provenance recording, but omits whether the source is modified, permission requirements, or potential side effects. The term 'master' implies potential overwriting without clarification.
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?
The description is a single sentence that packs three major actions without redundancy. It is dense but not verbose. A more structured format (e.g., bullet points) could improve readability, but current conciseness is acceptable.
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?
With an output schema present, return values are documented elsewhere. The description covers core functionality but lacks context on input prerequisites (e.g., existence of manifest), expected workflow order, and what 'two-pass' entails. Missing guidance makes the tool less self-contained.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is low (44%), and the description does not compensate by explaining key parameters like target_lufs, expected_revision, or target_true_peak_dbfs. While the overall process is described, the meaning and interplay of numeric parameters remain unclear, leaving the agent to guess optimal values.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool's purpose: performing two-pass loudness mastering on a current mix/master, reporting risk metrics, and recording provenance. The combination of specific verb ('loudness-master') and resource ('current mix/master') clarifies intent, though the domain-specific acronyms (LRA) may reduce clarity for unfamiliar agents.
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 like vocaloid_render_manifest_master or vocaloid_render_stem_mix. The description implies final delivery context but does not state prerequisites, exclusions, or preferred scenarios. Sibling tools suggest overlapping functionality, making differentiation unclear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, indicating a safe, non-destructive operation. The description adds value by detailing specific behaviors (melisma and small-っ handling) but does not expand on overall behavior like output format or side effects beyond what annotations imply. No contradiction detected.
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 a single, well-structured sentence that conveys the core purpose with no redundant words. Every part serves a clear function.
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 tool's complexity (10 parameters including nested objects, 5 enums, and an output schema), the description is too brief. It lacks context about prerequisites (e.g., need for reading with kanji), integration with sibling tools like vocaloid_phrase_grammar, or the nature of the returned phrase. The existence of output schema does not excuse missing contextual guidance for a complex tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 60%, meaning 4 params lack descriptions in the schema (start, note_slots, and two others). The description does not compensate; it provides no parameter-level explanations. For uncovered params like 'start' and 'note_slots', the description offers zero guidance, falling short of the baseline expectation for moderate coverage.
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 states a specific verb ('Align'), resource ('Japanese morae to stable rhythm slots'), and outcome ('manifest-compatible phrase'). It also calls out explicit melisma and small-っ timing decisions, distinguishing it from sibling tools like vocaloid_phrase_grammar.
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?
The description provides no explicit guidance on when to use this tool versus alternatives, nor does it mention any preconditions or exclusions. The mention of 'manifest-compatible' is a subtle hint but insufficient for a clear usage recommendation.
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?
Annotations are all false, providing no behavioral hints. The description mentions 'warnings for unsupported data' but does not disclose important traits like whether it overwrites, permissions needed, or side effects. The overwrite parameter in the schema is not mentioned in the description, and the tool's write nature is only implied.
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 a single sentence that captures the core functionality without any wasted words. It is appropriately front-loaded and easy to read.
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 tool's complexity (9 parameters, 4 required) and lack of annotation guidance, the description is too sparse. It does not explain the output (though output schema exists) or the import process, and leaves many parameter behaviors ambiguous. The warnings aspect is mentioned but not elaborated.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is only 44%, so the description must compensate. However, the description only indirectly covers source_path and output_manifest_path. Parameters like title, overwrite, sample_rate, response_format, and accompaniment_gain are left unexplained both in schema and description, leaving the agent without semantical understanding.
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 clearly states the verb ('Import') and resource ('V3/V4 VSQX vocal score') and specifies the output ('new stable-ID manifest'). It also mentions recording source and warnings, distinguishing it from sibling tools like vocaloid_create_song_manifest which creates manifests from scratch.
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?
The description implies the tool is for importing VSQX files but does not provide explicit when-to-use or when-not-to-use guidance. It does not mention alternatives or conditions, leaving the agent to infer from context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds that it 'never generates melody', which is consistent and slightly extends behavioral context, but fails to describe consequences of actions (e.g., validation results, analysis output) or prerequisites.
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 a single, front-loaded sentence that conveys the three actions and a critical negation ('never generates melody'). No redundant information; every word earns its place.
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?
Despite strong annotations and an output schema, the tool has three distinct actions with different behaviors, but the description provides no details on what each action does, what inputs are required beyond the schema, or how to construct the payload URI. This leaves significant gaps for effective use.
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?
Schema coverage is 33% (only payload has a description). The description partially explains the 'action' enum by listing the three possible values, but does not detail what each action does, nor does it explain the 'payload' object structure or 'response_format' usage. This adds some meaning but is insufficient for full parameter understanding.
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 clearly states three actions (browse, validate, analyze) and explicitly says 'never generates melody', which distinguishes it from melody generation tools. 'Phrase grammar' is a specific resource, making the purpose precise among sibling tools like vocaloid_analyze_wav.
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?
The description includes 'never generates melody' as a when-not-to-use hint, but it gives no guidance on when to choose this tool over siblings (e.g., vocaloid_analyze_wav, vocaloid_analyze_vocal_stem) nor when to use each of its three actions (catalog vs validate_blueprint vs analyze_manifest).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate the tool is not read-only, not idempotent, and not destructive. The description adds some context about rendering verified stems and explicit policy, but does not detail side effects (e.g., file overwrite behavior) or verification meaning. Given annotation presence, a 3 is adequate.
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?
The description is a single concise sentence with key information front-loaded. No wasted words, but could be slightly more structured for clarity.
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?
Given the output schema exists and the tool has 7 parameters, the description provides a high-level purpose but lacks usage guidelines and behavioral details. It is somewhat incomplete for a complex tool.
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?
Schema description coverage is 71%, and the description does not elaborate on parameters. The description hints at preserve_pan and include_renderer_effects but adds minimal detail beyond the schema. Baseline 3 is appropriate.
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 clearly states the tool renders selected arrangement tracks as isolated verified WAV stems with explicit pan/effect policy and manifest provenance. The verb and resource are specific, and it distinguishes from sibling tools like vocaloid_render_vocal_stems and vocaloid_render_stem_mix.
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?
The description does not provide guidance on when to use this tool versus alternatives, nor does it mention prerequisites or exclusions. It lacks explicit context for usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate non-readonly, non-destructive, non-idempotent behavior. The description adds that it never selects a winner, but does not disclose side effects like file creation or state changes. Adequate but not enriched.
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?
A single sentence that front-loads the primary actions and adds a critical behavioral note. No wasted words; every part earns its place.
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?
Despite 20 parameters and an output schema, the description remains very brief. It does not cover different action types, output formats, or prerequisites for using the tool, making it incomplete for a complex tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 45% schema coverage, the description should compensate but does not explain individual parameters. It hints at the 'action' enum via the description but offers no details on match_lufs, audition_layer, etc. The schema carries most of the burden.
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 title and description clearly state the tool's actions: rendering section previews, anchor previews, and loudness-matched A/B evidence. It explicitly distinguishes itself by stating 'this tool never chooses a winner,' setting clear expectations.
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?
The description implies usage for preview and comparison but does not specify when to use this tool over siblings like vocaloid_render_stem_mix or vocaloid_render_manifest_master. No explicit when-not-to-use or alternative guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are all false (non-destructive, non-idempotent, not read-only). The description adds context about requiring a verified isolated stem and expected revision, but does not disclose side effects, permissions, or limits. Since annotations provide no behavioral hints, the description partially compensates.
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 a single sentence that efficiently conveys the core action, inputs, and outputs. It is front-loaded with the verb and key nouns, earning its place with no wasted words.
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?
The tool is complex (13 parameters) and has an output schema (not shown). The description mentions output types ('pitch, timing, energy, diction, and vibrato evidence') but does not explain the analysis process or calibration. It is adequate for a minimally viable description but could be more complete.
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?
Schema description coverage is 46%. Many parameters have schema descriptions (e.g., event_ids, output_path), but the tool description adds no additional meaning. Parameters like maximum_pitch_hz have only ranges. Baseline 3 is appropriate as schema does some work but leaves gaps.
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 ('Compare') and identifies the resource ('stable vocal events with a verified isolated stem'). It lists measurable outputs ('pitch, timing, energy, diction, and vibrato evidence') and clearly distinguishes from sibling tools like 'vocaloid_analyze_wav' (general analysis) and 'vocaloid_render_vocal_stems' (rendering only).
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?
The description implies usage for comparing rendered stems but does not explicitly state when to use this tool vs alternatives like 'vocaloid_analyze_wav' or 'vocaloid_review_audio'. No exclusions or prerequisites are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds context beyond the annotations by listing the specific measurements performed (loudness, dynamics, etc.) and confirming the read-only nature. This aligns with the readOnlyHint, idempotentHint, and destructiveHint annotations.
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 a single, well-structured sentence that starts with the action verb and lists key measurable aspects. It is concise without unnecessary details.
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?
Despite having an output schema, the description does not cover parameter usage, edge cases, or guidance for the four parameters, especially target_lufs and target_true_peak_dbfs. The low schema coverage exacerbates this incompleteness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With only 25% schema description coverage (only the 'path' parameter is described), the tool description does not explain parameters like target_lufs, response_format, or target_true_peak_dbfs. This leaves the agent lacking understanding of how to set these parameters.
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 clearly states the verb 'Measure', the resource 'WAV', and specifies the aspects measured: loudness, dynamics, peaks, clipping, and stereo balance. It also emphasizes that the file is not modified, which distinguishes it from sibling tools like vocaloid_analyze_vocal_stem.
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?
The description implies usage for analyzing mix quality of WAV files, but does not explicitly state when to use this tool versus alternatives like vocaloid_analyze_vocal_stem or other analysis tools. No exclusions or context are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Description adds atomicity context ('record both artifacts atomically') beyond annotations (all false), but lacks details on side effects like file overwrites or manifest state changes. Annotations already indicate non-readonly and non-idempotent, so description provides modest additional value.
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 single sentence is highly concise (18 words) and front-loaded with the core action: 'Build a verified accompaniment WAV and native VSQX'. No extraneous information.
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?
Given the tool's complexity (building two artifacts from a manifest revision) and the presence of an output schema, the description fails to mention prerequisites like manifest existence or verification steps. Sibling tools like 'vocaloid_preflight_song' suggest a workflow order that is not addressed.
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?
Schema description coverage is 60%, placing it in the middle range. The description reinforces the purpose of manifest_path and expected_revision via 'from one immutable manifest revision', but does not clarify response_format or expected_revision semantics beyond the schema's minimal coverage.
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 clearly states the verb 'build' and specifies the resources: 'accompaniment WAV and native VSQX'. It distinguishes from sibling tools like 'vocaloid_create_song_manifest' by specifying 'from one immutable manifest revision', making it unique.
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?
The description implies the tool is used when you have a specific manifest revision and need to generate artifacts, but it does not provide explicit when-to-use or when-not-to-use guidance, nor alternative tool references.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark it as read-only and idempotent; the description reinforces non-mutating behavior and adds details about repair hypotheses being deterministic and theory-only. This adds value beyond the annotations.
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?
Two sentences, no fluff. The first sentence summarizes capabilities, the second adds important conditional context. Information is front-loaded and each sentence serves a purpose.
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?
Given the complexity (11 parameters, 1 required) and existence of an output schema, the description provides a high-level overview but omits details like the required manifest_path parameter. It is sufficient but not thorough.
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?
Schema description coverage is 55%, and the tool description does not explain any parameters further. It relies on the schema for parameter semantics, which is adequate but not enhanced.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly lists the types of checks (structure, theory, vocal, etc.) and states it's a preflight workflow. However, it does not explicitly differentiate from sibling tools like vocaloid_host_readiness or vocaloid_phrase_grammar, relying on the name and context to infer its role.
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?
The description mentions that optional repair hypotheses require vocaloid_edit_song dry_run plus listening, giving some usage context. But it lacks explicit guidance on when to use this tool vs alternatives, and does not state prerequisites or conditions for use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Description adds value beyond annotations by noting the render is bounded, temporary, and cached by fingerprint. Annotations (readOnlyHint=false, destructiveHint=false) are consistent. The transient nature and caching behavior are useful behavioral details not present in structured fields.
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?
Single sentence of 18 words, front-loaded with verb and resource. Every word adds value; no redundancy or filler.
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?
Given the existence of an output schema and moderate complexity (5 params, 1 required), the description combined with annotations covers the essential behavior. Missing details like error handling or when caching is invalid but not critical.
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?
Schema coverage is 60%, and the description does not elaborate on parameters. It adds no extra meaning beyond what the schema provides (e.g., component_id, force, timeout_seconds). Baseline of 3 is appropriate since schema already documents most parameters.
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 clearly states the tool verifies one local voice using a temporary render in the original Editor and caches the result. This specific verb+resource combination distinguishes it from sibling tools like vocaloid_host_readiness or vocaloid_analyze_wav.
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. The description does not mention prerequisites, conditions, or when not to use it. Sibling tools exist (e.g., vocaloid_host_readiness) that could be confused, but no differentiation is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds behavioral context by specifying that only objects intersecting the section are returned, going beyond the annotations. No contradictions.
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 a single sentence that efficiently conveys the tool's purpose and scope without any wasted words.
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?
Given the tool's simplicity (read-only fetch, 3 parameters, output schema exists), the description provides sufficient context. It could mention return format options but is largely complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 67%, with path and section_id having descriptions but response_format only having enum and default. The description does not add meaning to these parameters beyond the schema, and the missing description for response_format is not compensated.
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 clearly states the verb 'Fetch' and the resource 'one semantic section' with a specific scope 'only the vocal, harmony, and arrangement objects that intersect it.' This distinguishes it from sibling tools like vocaloid_review_song or vocaloid_inspect_song_manifest.
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?
The description implies when to use the tool (fetching a specific section with intersecting objects) but lacks explicit guidance on when not to use it or alternatives. No exclusions or context for selection are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds context on what the output includes (revision, stable IDs, inventories, intent, artifact provenance), which enriches understanding without contradicting annotations.
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?
A single sentence that front-loads the action and includes specific details. No wasted words, every part adds value.
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?
Given the output schema exists and annotations are strong, the description provides a clear summary of what the tool inspects. Missing explicit mention of prerequisite manifest existence, but overall sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 50%; only 'path' has schema description. The tool description does not elaborate on either parameter beyond the schema, failing to compensate for the undocumented 'response_format' parameter.
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 specific verbs 'Verify and summarize' targeting 'canonical song manifest', listing included elements. This clearly distinguishes it from sibling tools like vocaloid_create_song_manifest and vocaloid_build_song_manifest.
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?
The description implies usage for inspecting existing manifests but does not explicitly state when to use this tool versus alternatives like vocaloid_manifest_history or vocaloid_review_song. No exclusions or when-nots are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations show readOnlyHint=false and destructiveHint=false, so the tool modifies state. The description adds behavioral context: stems are 'verified', 'through the original Editor', and have 'explicit pan/send policy and provenance', which goes beyond the annotations and informs the agent about the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence that efficiently conveys the tool's action, resource, and key details. No wasted words.
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?
Given high complexity (11 params, 6 required) and the presence of an output schema, the description adequately covers the main purpose and behavioral traits. It doesn't explain return values, but the output schema likely does. Minor gaps: no mention of prerequisites or side effects beyond rendering.
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?
Schema description coverage is 82%, so the schema already documents most parameters. The description adds no parameter-specific information beyond what the schema provides. Baseline 3 is appropriate.
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 clearly states the tool renders selected vocal tracks individually through the original Editor, producing verified stems with explicit pan/send policy and provenance. This specific verb and resource distinguish it from sibling tools like vocaloid_render_instrument_stems and vocaloid_render_stem_mix.
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?
The description implies usage for rendering vocal stems individually but provides no explicit guidance on when to use this tool versus alternatives (e.g., instrument stems or stem mix). No when-not-to-use or exclusion criteria are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnly, idempotent, not destructive; the description adds that it operates without launching VOCALOID, which is significant behavioral context beyond the structured fields.
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?
Single sentence, front-loaded with the verb and resources, every word is necessary and contributes to clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read-only tool, the description combined with annotations and output schema provides sufficient context; no gaps in understanding what it does and its safety profile.
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?
Schema has 67% description coverage; two parameters have descriptions in the schema, and the missing one (response_format) is self-explanatory. The tool description adds no additional parameter details, so baseline score is appropriate.
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 clearly states the tool reads specific resources (Editor/helper fingerprint, host render lease, verified voice cache) without launching, distinguishing it from siblings like vocaloid_probe_voice and vocaloid_render_stem_mix.
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?
The description implies usage for inspecting readiness before launch, but does not explicitly state when to use or when not to use, nor does it mention alternative tools.
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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