motionspec
Server Quality Checklist
Latest release: v1.2.5
- Disambiguation5/5
Each tool has a clearly distinct purpose: audit checks accessibility, catalog lists primitives, compile generates code, validate checks specs, and stats provides telemetry. No overlaps.
Naming Consistency5/5All tools follow a consistent 'motion_<verb>' pattern (audit, catalog, compile, stats, validate), making them predictable and easy to distinguish.
Tool Count5/5With 5 tools, the set is well-scoped for a motion spec management server, covering creation, validation, compilation, auditing, and telemetry without excess.
Completeness4/5The tools cover the core workflow (catalog, validate, compile) plus audit and stats. Minor gaps: no tool to list compiled outputs or modify the catalog, and audit only covers CSS, not runtime motion.
Average 4.4/5 across 5 of 5 tools scored. Lowest: 3.7/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 36 commits in the last 12 weeks
- Last stable release on
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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
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=true (safe read) and openWorldHint=false. The description adds meaningful behavioral context: it returns aggregated counts per outcome and identifies escalation clusters for catalog needs. This goes beyond the annotations without contradicting them.
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 extremely concise with two sentences and no unnecessary words. It is front-loaded with the core purpose ('Summary of routing/compile telemetry') and efficiently conveys the key output.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given there is no output schema, the description adequately describes the return content (counts per outcome, escalation clusters). However, for a telemetry tool, it might be improved by clarifying the time period or data scope, though it is sufficient for basic use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters with 100% schema coverage (empty object). There are no parameters to document, so the description need not add parameter information. Baseline score of 4 is appropriate.
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 it provides a summary of routing/compile telemetry with counts per outcome and escalation clusters indicating catalog needs. However, it does not explicitly differentiate from sibling tools like motion_audit or motion_catalog, which could share similar purposes.
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?
No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, limitations, or comparison with sibling tools. The description only states what it does without any usage context.
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?
Adds details beyond annotations: fail-closed behavior, returns ok=false with precise errors, and enumerates validation checks. Annotations already indicate read-only, but description enriches with specific failure mode.
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?
Two sentences with zero wasted words. First sentence defines action and scope, second sentence gives usage hint. Front-loaded and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Provides sufficient context for agent decision: validation checks performed, fail-closed outcome, and recommended usage. Lacks output schema but description hints at return format. Still complete for this simple tool.
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 coverage is 100% and the schema itself describes the spec parameter as 'The MotionSpec JSON object'. The tool description repeats this without adding further parameter semantics, so baseline score applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states the tool validates a MotionSpec against schema, allow-list, bounds, and injection rules. Distinct from siblings like motion_compile (which does compilation) and motion_audit (auditing).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly recommends using it 'to pre-check a spec before compiling', providing clear context and implied when-not to use (not for actual compilation).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and openWorldHint. Description adds significant behavioral context: fetches HTML+linked stylesheets, scans CSS for four categories, returns specific JSON structure including badge and disclosures. Discloses network I/O explicitly, aligning with openWorldHint. No contradiction.
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?
Description is compact for the amount of detail, front-loading purpose and listing checks in a clear numbered list. Each sentence adds value. Slightly long but appropriate for the complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite no output schema, the description specifies the return structure ({ok, score, findings, summary, badge, disclosures, markdown}) and the condition for the badge. It covers limitations (runtime not audited) and network behavior. Complete for a single-parameter tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema covers the single parameter (url) with 100% description. Description adds meaning by explaining the tool fetches the URL's HTML and linked stylesheets, implying the URL is the target page. This adds context beyond the schema's basic type and format.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
Description uses specific verb 'audit' with resource 'live URL', lists four concrete CSS checks, and explicitly distinguishes from runtime motion auditors by disclosing 'Runtime motion... not audited (V2)'. This differentiates from sibling tools (catalog, compile, stats, validate) clearly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Implicitly states use case for static motion accessibility checks on live URLs. Highlights that runtime motion is not covered, guiding agents to avoid this tool for JS-based motion. Could be more explicit about when to prefer sibling tools, but the limitation is clearly stated.
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 readOnlyHint=true; description adds that it returns catalog and rules, and positions it as a first step, providing useful behavioral context.
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?
Two sentences, front-loaded purpose, and a clear action directive with zero redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no parameters and no output schema, the description fully covers what the tool does and how to use it in the workflow.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist (100% schema coverage), so baseline 4 applies; description adds no unnecessary param details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns the catalog of verified motion primitives and authoring rules, distinguishing it from sibling tools like motion_compile by specifying it should be called first.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly instructs to call this tool first and then write the spec for motion_compile, providing clear sequential guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds significant context beyond annotations: it discloses deterministic compilation (idempotent), fail-closed validation, enforcement of prefers-reduced-motion, and a performance report. Annotations already indicate idempotentHint and readOnlyHint, but the description elaborates with concrete behaviors and outputs.
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 two sentences, front-loaded with the key action and outputs. Every sentence adds value: the first covers validation, compilation, and features; the second covers determinism and return shape. No fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite no output schema, the description fully explains the return structure ({ok, js, css, report} or errors). It covers input, process, and output comprehensively for a compilation tool. Nested objects are described as MotionSpec JSON, and the behavioral details are complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with basic descriptions. The description enhances understanding by explaining that the spec is validated and compiled deterministically, and that specName is for artifact headers. This adds semantic value beyond the schema's minimal descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that the tool validates (fail-closed) and compiles a MotionSpec into GSAP/CSS with deterministic output, specifying verb, resource, and output format. It distinguishes itself from siblings by focusing on compilation, while others like motion_validate and motion_audit handle different operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use the tool (e.g., for production-ready code with reduced-motion fallbacks) but does not explicitly contrast with siblings or state when not to use it. The context is clear enough for an agent to infer, but lacks explicit exclusions or alternative recommendations.
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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