slopwatch_status
Retrieve current slop score and statistics to track AI system accountability by comparing promised versus delivered implementations.
Instructions
Get current slop score and statistics
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| random_string | Yes | Dummy parameter for no-parameter tools |
Implementation Reference
- src/mcp-server.js:304-317 (handler)The handleStatus method implements the core logic for the slopwatch_status tool, calculating accuracy from claims and verification results and returning a simple status message.
async handleStatus(args) { const totalClaims = this.claims.size; const verifiedClaims = this.verificationResults.filter(r => r.isVerified).length; const accuracy = totalClaims > 0 ? Math.round((verifiedClaims / totalClaims) * 100) : 100; return { content: [ { type: 'text', text: `Accuracy: ${accuracy}% (${verifiedClaims}/${totalClaims})` } ] }; } - src/index.ts:269-304 (handler)The getStatus function implements the slopwatch_status tool handler, providing detailed server status including recent verification history if requested.
async function getStatus(args: any, claims: Map<string, any>, verificationResults: any[]) { const { detailed = false } = args || {}; const totalClaims = claims.size; const verifiedClaims = verificationResults.filter(r => r.isVerified).length; const failedClaims = verificationResults.filter(r => !r.isVerified).length; const accuracy = totalClaims === 0 ? 100 : Math.round((verifiedClaims / totalClaims) * 100); let output = `š„ SlopWatch Server Status\n\n`; output += `š Total Claims: ${totalClaims}\n`; output += `ā Verified: ${verifiedClaims}\n`; output += `ā Failed: ${failedClaims}\n`; output += `šÆ AI Accuracy: ${accuracy}%\n\n`; if (detailed && verificationResults.length > 0) { output += `š Recent Verification History:\n`; verificationResults.slice(-5).forEach((result, i) => { const status = result.isVerified ? 'ā ' : 'ā'; output += ` ${status} "${result.claim}" (${result.confidence}%)\n`; }); } output += `\nš” How to use:\n`; output += `1. AI calls slopwatch_claim("what I'm implementing", ["file1.js"], "js")\n`; output += `2. AI makes the changes\n`; output += `3. AI calls slopwatch_verify(claimId)\n`; output += `4. Get instant lie detection results!\n`; return { content: [ { type: 'text', text: output } ] }; - src/mcp-server.js:66-79 (registration)Registration of the slopwatch_status tool in the ListTools response, defining name, description, and input schema.
{ name: 'slopwatch_status', description: 'Get current slop score and statistics', inputSchema: { type: 'object', properties: { random_string: { type: 'string', description: 'Dummy parameter for no-parameter tools' } }, required: ['random_string'] } }, - src/index.ts:88-100 (registration)Registration of the slopwatch_status tool in the ListTools response for the stateless server, including optional detailed parameter.
{ name: 'slopwatch_status', description: 'š Get current SlopWatch status and recent verification results', inputSchema: { type: 'object', properties: { detailed: { type: 'boolean', description: 'Show detailed verification history', } }, }, } - src/mcp-server.js:69-77 (schema)Input schema definition for slopwatch_status tool requiring a dummy random_string parameter.
inputSchema: { type: 'object', properties: { random_string: { type: 'string', description: 'Dummy parameter for no-parameter tools' } }, required: ['random_string']