@powforge/captcha-mcp
Server Quality Checklist
Latest release: v0.2.0
- Disambiguation5/5
Each tool has a distinct purpose: challenge initiates a PoW challenge, status checks server health and metadata, and verify submits the solution. No overlap in functionality.
Naming Consistency5/5All tool names are single-word imperative verbs (challenge, status, verify), following a consistent naming pattern.
Tool Count5/5Three tools are appropriate for a captcha service, covering the core workflow (challenge, verify) and a status check. Not excessive or insufficient.
Completeness4/5The core PoW challenge-verify cycle is complete. However, the status tool mentions a Lightning skip option, but no tool to execute it, which is a minor gap.
Average 4.4/5 across 3 of 3 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 9 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.
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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?
With no annotations, the description carries full burden and adequately lists the return data: health, lifetime stats, and L402 metadata. It implies a read-only operation but could explicitly state no side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single dense sentence that is front-loaded with the main purpose. It could be split into two sentences for readability, but it is efficient and contains no fluff.
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 no output schema, the description explains the return values and use cases adequately. It does not specify response format or error handling, but for a health endpoint, the provided information is sufficient for tool selection.
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 and schema coverage is 100% (vacuously). Baseline for zero parameters is 4, and the description adds value by detailing the output fields beyond the empty schema.
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 health, lifetime stats, and L402 endpoint metadata. It distinguishes itself from siblings 'challenge' and 'verify' by specifying use cases like discovering the Lightning skip price and liveness check.
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 explicitly provides two use cases: discovering the Lightning skip price before paying and as a liveness check. It gives clear context for when to use the tool, though it does not mention when not to use it or alternatives.
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?
No annotations are provided, so the description must disclose behavior. It explains the return value: a 5-minute HMAC-signed token on success or an error object on failure. It also mentions server-side re-verification. However, it does not cover potential side effects 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.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description consists of three concise sentences: the first states the purpose, the second details input/output, and the third mentions server-side capabilities. It is front-loaded and free of superfluous content.
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 no output schema, the description adequately explains return values (success token with lifetime, failure reason). It references the sibling 'challenge' and describes the token's re-verification endpoint. However, it lacks detail on possible failure reasons or error codes.
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 description coverage is 100%, and the description adds valuable context by listing parameters and stating they come from a prior challenge call, plus the agent-computed nonce. This clarifies the origin and usage beyond the schema 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 explicitly states 'Verify a PoW solution,' using a specific verb and resource. It clearly distinguishes from sibling tools like 'challenge' by describing input from a prior challenge call and the verification purpose.
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 indicates that input comes 'from a prior challenge call,' implying a sequence (call challenge first, then verify). It does not explicitly state when not to use it or contrast with alternatives, but the context is clear.
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?
With no annotations, the description carries full burden. It discloses the tool creates a new challenge (non-idempotent), returns specific fields, requires a subsequent PoW solution, and mentions free tier. Lacks rate limit info but 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.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences concisely cover purpose, return structure, workflow, and free tier. No redundancies or 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?
The tool has no input schema and no output schema, so the description fully covers both: explains that no input is needed and details the returned object fields along with subsequent steps. Sufficient for a simple 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?
No input parameters exist, so schema coverage is 100%. The description adds value by explaining the return structure, which is not parameter semantics but compensates for missing output schema.
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 verb 'Request' and resource 'fresh PoW challenge from PowForge captcha service', and distinguishes from sibling 'verify' by mentioning the complete workflow including the call to verify.
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 explains when to use (requesting a captcha challenge) and what to do next (find nonce, call verify), but does not explicitly contrast with 'status' or provide when-not-to-use conditions.
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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