SlopWatch MCP Server
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
Each tool has a clearly distinct purpose with no overlap: one handles claim registration and verification, another generates configuration files, and the third retrieves status metrics. The descriptions make it easy to differentiate their functions, eliminating any risk of misselection.
Naming Consistency5/5All tool names follow a consistent 'slopwatch_verb_noun' pattern (e.g., slopwatch_claim_and_verify, slopwatch_setup_rules, slopwatch_status). This uniformity makes the set predictable and easy to navigate, with no deviations in style or structure.
Tool Count4/5With 3 tools, the count is slightly low but reasonable for a server focused on AI accountability and slop scoring. Each tool serves a distinct, essential function, though the scope might feel thin if more operations are expected in this domain.
Completeness4/5The tools cover core workflows: setup (rules generation), claim handling (registration and verification), and monitoring (status retrieval). Minor gaps might exist, such as tools for updating rules or detailed analytics, but the surface supports basic operations without dead ends.
Average 2.9/5 across 3 of 3 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 is passing
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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 performs 'register claim and verify implementation', which suggests a mutation operation, but doesn't disclose any behavioral traits such as side effects, error handling, permissions required, or what 'verification' entails. The description is too brief to provide meaningful context beyond the basic operation.
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 only one sentence that directly states the tool's purpose and benefit. It is front-loaded with no wasted words, making it easy to parse quickly. Every part of the sentence earns its place by conveying key information efficiently.
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 complexity implied by a combined 'register and verify' operation with 3 parameters (including nested objects) and no annotations or output schema, the description is insufficient. It lacks details on what the tool actually does, how verification works, what happens on success/failure, or any domain context. The description does not compensate for the missing structured data, making it incomplete for 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 all 3 parameters (claim, originalFileContents, updatedFileContents). The description adds no additional parameter semantics beyond what the schema provides, such as format details or examples. Given the high schema coverage, the baseline score of 3 is appropriate as the schema handles the documentation adequately.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool 'registers claim and verifies implementation in one call', which indicates a combined operation. However, it's vague about what 'claim' and 'verification' specifically entail, and it doesn't clearly distinguish this tool from its siblings (slopwatch_setup_rules, slopwatch_status) beyond mentioning it reduces from 2 tool calls to 1. The purpose is understandable but lacks specificity about the resource or domain context.
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 mentions that this tool 'reduces from 2 tool calls to 1', implying it should be used as a combined alternative to separate operations. However, it doesn't specify what those 2 tool calls are, when to prefer this over them, or any prerequisites. No explicit when/when-not guidance or alternatives are provided, leaving usage context unclear.
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?
No annotations are provided, so the description carries full burden for behavioral disclosure. It mentions the tool 'generates' a file, implying a write operation, but doesn't specify permissions needed, side effects, or what 'AI accountability enforcement' entails. The description lacks details on file format, success/failure conditions, or any behavioral traits beyond the basic action.
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 that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy to understand at a glance. Every part of the sentence contributes to clarifying the tool's function.
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 complexity of generating a configuration file with 'AI accountability enforcement' and no annotations or output schema, the description is incomplete. It doesn't explain what the generated file contains, how it enforces accountability, or what the tool returns. This leaves significant gaps for an agent to understand the tool's full context and behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents both parameters ('project_path' and 'overwrite') thoroughly. The description adds no additional meaning or context about parameters beyond what's in the schema, such as path format examples or implications of overwriting. This meets the baseline for high schema coverage.
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: 'Generate .cursorrules file with AI accountability enforcement'. It specifies the verb ('Generate'), resource ('.cursorrules file'), and purpose ('AI accountability enforcement'), making the function unambiguous. However, it doesn't differentiate from sibling tools like 'slopwatch_claim_and_verify' or 'slopwatch_status', which prevents a perfect score.
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. There's no mention of prerequisites, appropriate contexts, or comparisons with sibling tools. The only implied usage is when needing to create a .cursorrules file, but this is too vague for effective tool selection.
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 the full burden of behavioral disclosure. It implies a read-only operation ('Get'), but doesn't specify whether this requires authentication, has rate limits, returns real-time or cached data, or what format the statistics include. For a tool with zero annotation coverage, 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 with no wasted words. It's front-loaded with the core purpose ('Get current slop score and statistics'), making it easy to parse quickly. Every word earns its place in this concise formulation.
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 lack of annotations and output schema, the description is incomplete for a tool that presumably returns data. It doesn't explain what 'slop score' means, what statistics are included, or the format of the response. For a read operation with no structured output documentation, the description should provide more context to be fully helpful.
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 input schema has 100% description coverage, documenting the single parameter as a 'Dummy parameter for no-parameter tools.' The description doesn't add any parameter details beyond this, but since the schema fully covers the parameter and it's a dummy placeholder, the baseline is high. A score of 4 reflects that the description doesn't detract from the schema's clarity for this simple case.
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 with a specific verb ('Get') and resource ('current slop score and statistics'), making it immediately understandable. However, it doesn't explicitly differentiate this read-only status tool from its sibling tools (slopwatch_claim_and_verify and slopwatch_setup_rules), which appear to involve write operations, so it falls short of a perfect score.
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 its siblings or in what context. It lacks any mention of prerequisites, alternatives, or exclusions, leaving the agent to infer usage based on tool names alone.
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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