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CI-1T Prediction Stability Engine

visualize

Generate an interactive HTML visualization of CI-1T evaluate results with sidebars, color-coded bars, and trend lines to analyze prediction stability.

Instructions

Generate an interactive HTML visualization of CI-1T evaluate results — no API call, no auth, no credits. Takes an episode array from evaluate or fleet responses. Returns a file path to a self-contained HTML chart with sidebar KPIs, color-coded CI bars, EMA trend, authority levels, and hover tooltips. Response: { visualization: filepath, episodes, title, instruction }. Open the file in a browser or VS Code Simple Browser.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
episodesYesEpisode array from an evaluate or fleet_evaluate response
titleNoChart title (default: CI-1T Stability Analysis)

Implementation Reference

  • The 'visualize' tool handler. Defines the tool with schema (episodes array + optional title), generates interactive HTML using buildVisualizationHTML, writes to a temp file, and returns the file path. No API call, no auth, no credits.
    server.tool(
      "visualize",
      "Generate an interactive HTML visualization of CI-1T evaluate results — no API call, no auth, no credits. Takes an episode array from evaluate or fleet responses. Returns a file path to a self-contained HTML chart with sidebar KPIs, color-coded CI bars, EMA trend, authority levels, and hover tooltips. Response: { visualization: filepath, episodes, title, instruction }. Open the file in a browser or VS Code Simple Browser.",
      {
        episodes: z.array(z.record(z.string(), z.unknown())).min(1).describe("Episode array from an evaluate or fleet_evaluate response"),
        title: z.string().optional().describe("Chart title (default: CI-1T Stability Analysis)"),
      },
      async ({ episodes, title }) => {
        const html = buildVisualizationHTML(episodes as Array<Record<string, unknown>>, title);
    
        // Write to temp file
        const tmpDir = path.join(os.tmpdir(), "ci1t-mcp");
        fs.mkdirSync(tmpDir, { recursive: true });
    
        // Cleanup: remove viz files older than 1 hour
        const ONE_HOUR = 60 * 60 * 1000;
        const now = Date.now();
        try {
          for (const f of fs.readdirSync(tmpDir)) {
            if (!f.startsWith("ci1t_viz_")) continue;
            const fPath = path.join(tmpDir, f);
            const stat = fs.statSync(fPath);
            if (now - stat.mtimeMs > ONE_HOUR) fs.unlinkSync(fPath);
          }
        } catch { /* cleanup is best-effort */ }
    
        const filename = `ci1t_viz_${Date.now()}.html`;
        const filePath = path.join(tmpDir, filename);
        fs.writeFileSync(filePath, html, "utf-8");
    
        return {
          content: [
            {
              type: "text" as const,
              text: JSON.stringify(
                {
                  visualization: filePath,
                  episodes: episodes.length,
                  title: title || "CI-1T Stability Analysis",
                  instruction: "Open this HTML file in a browser or VS Code Simple Browser to view the interactive chart.",
                },
                null,
                2
              ),
            },
          ],
        };
      }
    );
  • Input schema for the visualize tool: 'episodes' (z.array of records, min 1) and optional 'title' (string).
    {
      episodes: z.array(z.record(z.string(), z.unknown())).min(1).describe("Episode array from an evaluate or fleet_evaluate response"),
      title: z.string().optional().describe("Chart title (default: CI-1T Stability Analysis)"),
    },
  • src/index.ts:1564-1565 (registration)
    Tool registration via server.tool('visualize', ...) on line 1564.
    server.tool(
      "visualize",
  • buildVisualizationHTML() helper function that generates a self-contained HTML page with interactive charts (CI per episode, EMA trend, authority level), sidebar gauges, tooltips, and color-coded classification thresholds.
    function buildVisualizationHTML(episodes: Array<Record<string, unknown>>, title?: string): string {
      const Q = 65535;
      const eps = JSON.stringify(episodes);
      const chartTitle = escapeHtml(title || "CI-1T Stability Analysis");
    
      return `<!DOCTYPE html>
    <html lang="en">
    <head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>${chartTitle}</title>
    <link href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;500;600;700&family=Inter:wght@400;500;600;700&display=swap" rel="stylesheet">
    <style>
      :root {
        --font-sans: 'Inter', ui-sans-serif, system-ui, -apple-system, sans-serif;
        --font-mono: 'IBM Plex Mono', 'SF Mono', SFMono-Regular, ui-monospace, monospace;
        --bg: #111; --surface: rgba(255,255,255,0.03); --border: rgba(255,255,255,0.08);
        --text: #f5f5f5; --muted: #b0b0b0; --faint: #888; --accent: #fff;
        --green: #4ade80; --amber: #fbbf24; --orange: #f97316; --red: #f87171;
        --ghost: #a78bfa; --cyan: #0ea5e9;
        --sidebar-w: 220px;
      }
      * { margin: 0; padding: 0; box-sizing: border-box; }
      body {
        background: var(--bg); color: var(--text); font-family: var(--font-sans);
        -webkit-font-smoothing: antialiased; min-height: 100vh;
      }
    
      /* ─── Sidebar ─── */
      .sidebar {
        position: fixed; top: 0; left: 0; width: var(--sidebar-w); height: 100vh;
        z-index: 30; display: flex; flex-direction: column; justify-content: space-between;
        background: rgba(17,17,17,0.85); backdrop-filter: blur(16px);
        -webkit-backdrop-filter: blur(16px);
        border-right: 1px solid var(--border); overflow-y: auto; overflow-x: hidden;
      }
      .sidebar-top { flex: 1; overflow-y: auto; }
      .sidebar-brand {
        padding: 20px; border-bottom: 1px solid var(--border);
      }
      .sidebar-brand a {
        font-family: var(--font-mono); font-weight: 700; font-size: 18px;
        color: var(--accent); text-decoration: none; letter-spacing: -0.5px;
      }
      .sidebar-section-label {
        font-family: var(--font-mono); font-size: 10px; color: var(--faint);
        text-transform: uppercase; letter-spacing: 1px; padding: 14px 20px 6px;
      }
      .sidebar-divider { height: 1px; background: var(--border); margin: 10px 12px; }
    
      /* Gauge cards in sidebar */
      .gauges { display: flex; flex-direction: column; gap: 8px; padding: 8px 12px; }
      .gauge {
        background: var(--surface); border: 1px solid var(--border);
        border-radius: 10px; padding: 10px 14px;
      }
      .gauge-label {
        font-family: var(--font-mono); font-size: 10px; color: var(--muted);
        text-transform: uppercase; letter-spacing: 0.05em; margin-bottom: 2px;
      }
      .gauge-value {
        font-family: var(--font-mono); font-size: 20px; font-weight: 700;
        font-variant-numeric: tabular-nums; line-height: 1.2;
      }
      .gauge-sub { font-size: 11px; color: var(--muted); margin-top: 1px; }
    
      /* Legend in sidebar */
      .legend { display: flex; flex-direction: column; gap: 4px; padding: 4px 20px 8px; }
      .legend-item {
        display: flex; align-items: center; gap: 8px;
        font-family: var(--font-mono); font-size: 11px; color: var(--faint);
      }
      .legend-dot { width: 6px; height: 6px; border-radius: 1px; flex-shrink: 0; }
    
      /* Stats in sidebar */
      .stats { display: flex; flex-direction: column; gap: 3px; padding: 4px 12px 12px; }
      .stat-row {
        display: flex; justify-content: space-between; align-items: center;
        padding: 4px 8px; font-family: var(--font-mono); font-size: 11px; color: var(--faint);
        border-radius: 4px;
      }
      .stat-row:hover { background: rgba(255,255,255,0.04); }
      .stat-val { font-weight: 600; color: var(--text); }
    
      /* Sidebar footer */
      .sidebar-bottom {
        padding: 12px 20px; border-top: 1px solid var(--border);
        display: flex; flex-direction: column; gap: 4px;
      }
      .sidebar-bottom a {
        color: var(--faint); text-decoration: none; font-size: 11px;
        font-family: var(--font-mono); transition: color 0.15s;
      }
      .sidebar-bottom a:hover { color: var(--text); }
    
      /* ─── Main content ─── */
      main {
        margin-left: var(--sidebar-w);
        padding: clamp(20px, 3vw, 40px); padding-top: clamp(20px, 4vh, 36px);
        max-width: calc(960px + var(--sidebar-w));
        min-height: 100vh;
      }
      .header { margin-bottom: 20px; }
      h1 { font-size: 20px; font-weight: 700; color: var(--text); margin-bottom: 2px; }
      .subtitle { font-size: 12px; color: var(--muted); }
    
      /* Chart panels */
      .charts { display: flex; flex-direction: column; gap: 14px; }
      .charts-row { display: grid; grid-template-columns: 1fr 1fr; gap: 14px; }
      @media (max-width: 640px) { .charts-row { grid-template-columns: 1fr; } }
      .panel {
        background: var(--surface); border: 1px solid var(--border);
        border-radius: 12px; padding: 16px;
      }
      .panel-label {
        font-family: var(--font-mono); font-size: 12px; font-weight: 600;
        color: var(--muted); text-transform: uppercase; letter-spacing: 0.05em; margin-bottom: 8px;
      }
      .canvas-wrap { background: rgba(255,255,255,0.015); border-radius: 4px; overflow: hidden; }
      canvas { width: 100%; display: block; cursor: crosshair; }
      .ep-labels {
        display: flex; justify-content: center; gap: 0; margin-top: 4px;
        font-family: var(--font-mono); font-size: 10px; color: rgba(176,176,176,0.5);
      }
      .ep-labels span { text-align: center; }
    
      /* Tooltip */
      #tooltip {
        position: fixed; pointer-events: none; opacity: 0; transition: opacity 150ms;
        background: #1f1f1f; border: 1px solid rgba(255,255,255,0.12); border-radius: 8px;
        padding: 8px 12px; font-family: var(--font-mono); font-size: 12px;
        color: var(--text); z-index: 100; white-space: nowrap;
        box-shadow: 0 10px 15px -3px rgba(0,0,0,0.1), 0 4px 6px -4px rgba(0,0,0,0.1);
      }
      #tooltip.visible { opacity: 1; }
      .tt-row { display: flex; justify-content: space-between; gap: 14px; margin: 1px 0; }
      .tt-label { color: var(--muted); }
      .tt-value { font-weight: 500; font-variant-numeric: tabular-nums; }
      .tt-badge {
        display: inline-block; padding: 1px 5px; border-radius: 3px;
        font-size: 9px; font-weight: 700; text-transform: uppercase;
        letter-spacing: 0.05em; margin-left: 4px;
      }
    
      /* ─── Mobile: sidebar collapses ─── */
      @media (max-width: 768px) {
        .sidebar { transform: translateX(-100%); transition: transform 0.25s; }
        .sidebar.open { transform: translateX(0); }
        main { margin-left: 0; }
      }
    </style>
    </head>
    <body>
    
    <aside class="sidebar">
      <div class="sidebar-top">
        <div class="sidebar-brand"><a href="https://collapseindex.org" target="_blank">CI-1T</a></div>
    
        <div class="sidebar-section-label">Metrics</div>
        <div class="gauges" id="gauges"></div>
    
        <div class="sidebar-divider"></div>
        <div class="sidebar-section-label">Legend</div>
        <div class="legend">
          <div class="legend-item"><div class="legend-dot" style="background:var(--green)"></div>Stable \u2264 15%</div>
          <div class="legend-item"><div class="legend-dot" style="background:var(--amber)"></div>Drift \u2264 45%</div>
          <div class="legend-item"><div class="legend-dot" style="background:var(--orange)"></div>Flip \u2264 70%</div>
          <div class="legend-item"><div class="legend-dot" style="background:var(--red)"></div>Collapse > 70%</div>
          <div class="legend-item"><div class="legend-dot" style="background:var(--ghost)"></div>Ghost</div>
        </div>
    
        <div class="sidebar-divider"></div>
        <div class="sidebar-section-label">Summary</div>
        <div class="stats" id="stats"></div>
      </div>
    
      <div class="sidebar-bottom">
        <a href="https://collapseindex.org" target="_blank">collapseindex.org</a>
      </div>
    </aside>
    
    <main>
      <div class="header">
        <h1>${chartTitle}</h1>
        <div class="subtitle">${episodes.length} episode${episodes.length !== 1 ? "s" : ""} \u2022 CI-1T GRM v2</div>
      </div>
    
      <div class="charts">
        <div class="panel">
          <div class="panel-label">CI per Episode</div>
          <div class="canvas-wrap"><canvas id="ciChart" height="140"></canvas></div>
          <div class="ep-labels" id="ciLabels"></div>
        </div>
        <div class="charts-row">
          <div class="panel">
            <div class="panel-label">CI EMA Trend</div>
            <div class="canvas-wrap"><canvas id="emaChart" height="120"></canvas></div>
            <div class="ep-labels" id="emaLabels"></div>
          </div>
          <div class="panel">
            <div class="panel-label">Authority Level</div>
            <div class="canvas-wrap"><canvas id="alChart" height="120"></canvas></div>
            <div class="ep-labels" id="alLabels"></div>
          </div>
        </div>
      </div>
    </main>
    
    <div id="tooltip"></div>
    
    <script>
    const Q16 = ${Q};
    const episodes = ${eps};
    const tooltip = document.getElementById('tooltip');
    
    function classifyCI(n) {
      if (n <= 0.15) return { label: 'Stable',   color: '#4ade80', bg: 'rgba(74,222,128,0.15)' };
      if (n <= 0.45) return { label: 'Drift',    color: '#fbbf24', bg: 'rgba(251,191,36,0.15)' };
      if (n <= 0.70) return { label: 'Flip',     color: '#f97316', bg: 'rgba(249,115,22,0.15)' };
      return              { label: 'Collapse', color: '#f87171', bg: 'rgba(248,113,113,0.15)' };
    }
    
    function alColor(al) {
      return ['#4ade80','#0ea5e9','#fbbf24','#f97316','#f87171'][Math.min(al, 4)];
    }
    function alLabel(al) {
      return ['Full trust','Caution','Reduced','Minimal','No authority'][Math.min(al, 4)];
    }
    
    // ─── Bar renderer — adaptive sizing ───
    function drawBars(canvasId, values, opts) {
      const canvas = document.getElementById(canvasId);
      const dpr = window.devicePixelRatio || 1;
      const rect = canvas.getBoundingClientRect();
      canvas.width = rect.width * dpr;
      canvas.height = rect.height * dpr;
      const ctx = canvas.getContext('2d');
      ctx.scale(dpr, dpr);
      const w = rect.width, h = rect.height;
      const maxVal = opts.maxVal || Math.max(...values.map(v => v.val), 0.01);
      const pad = 16;
      const plotW = w - pad * 2;
      const plotH = h - 4;
    
      var n = values.length;
      var gapRatio = 0.3;
      var slotW = plotW / n;
      var barW = Math.max(4, Math.min(48, slotW * (1 - gapRatio)));
      var gap = slotW - barW;
      var totalW = n * barW + (n - 1) * gap;
      var offsetX = pad + (plotW - totalW) / 2;
    
      // Episode labels
      var labelsId = canvasId.replace('Chart', 'Labels');
      var labelsEl = document.getElementById(labelsId);
      if (labelsEl) {
        labelsEl.innerHTML = values.map(function(_, i) {
          return '<span style="width:' + (barW + gap) + 'px">E' + (i + 1) + '</span>';
        }).join('');
      }
    
      var barMeta = [];
      values.forEach(function(v, i) {
        var x = offsetX + i * (barW + gap);
        var barH = Math.max(4, (v.val / maxVal) * plotH);
        var y = h - 2 - barH;
        var r = Math.min(2, barW / 4);
    
        var hex = v.color;
        var cr = parseInt(hex.slice(1,3),16), cg = parseInt(hex.slice(3,5),16), cb = parseInt(hex.slice(5,7),16);
        ctx.fillStyle = 'rgba(' + cr + ',' + cg + ',' + cb + ',0.75)';
    
        ctx.beginPath();
        ctx.roundRect(x, y, barW, barH, r);
        ctx.fill();
    
        barMeta.push({ x: x, y: y, w: barW, h: barH, idx: i });
      });
    
      // Threshold lines for CI chart
      if (opts.thresholds) {
        [{ val: 0.15, color: '#4ade80' }, { val: 0.45, color: '#fbbf24' }, { val: 0.70, color: '#f97316' }].forEach(t => {
          if (t.val <= maxVal) {
            var ty = h - 2 - (t.val / maxVal) * plotH;
            ctx.setLineDash([3, 3]);
            ctx.strokeStyle = t.color + '40';
            ctx.lineWidth = 0.5;
            ctx.beginPath(); ctx.moveTo(pad, ty); ctx.lineTo(w - pad, ty); ctx.stroke();
            ctx.setLineDash([]);
          }
        });
      }
    
      // Hover
      canvas.addEventListener('mousemove', (e) => {
        const cr = canvas.getBoundingClientRect();
        const mx = e.clientX - cr.left;
        const hit = barMeta.find(b => mx >= b.x - 1 && mx <= b.x + b.w + 1);
        if (hit) {
          const ep = episodes[hit.idx];
          const ci = (ep.ci_out || 0) / Q16;
          const cls = classifyCI(ci);
          tooltip.innerHTML =
            '<div style="font-weight:600;margin-bottom:4px;color:' + cls.color + '">' +
              'Episode ' + (hit.idx + 1) +
              '<span class="tt-badge" style="background:' + cls.bg + ';color:' + cls.color + '">' + cls.label + '</span>' +
              (ep.ghost_confirmed ? '<span class="tt-badge" style="background:rgba(167,139,250,0.15);color:#a78bfa">Ghost</span>' : '') +
              (ep.warn ? '<span class="tt-badge" style="background:rgba(251,191,36,0.15);color:#fbbf24">Warn</span>' : '') +
              (ep.fault ? '<span class="tt-badge" style="background:rgba(248,113,113,0.15);color:#f87171">Fault</span>' : '') +
            '</div>' +
            '<div class="tt-row"><span class="tt-label">CI</span><span class="tt-value" style="color:' + cls.color + '">' + (ep.ci_out || 0) + ' / ${Q} (' + (ci * 100).toFixed(1) + '%)</span></div>' +
            '<div class="tt-row"><span class="tt-label">EMA</span><span class="tt-value">' + (ep.ci_ema_out || 0) + '</span></div>' +
            '<div class="tt-row"><span class="tt-label">Authority</span><span class="tt-value" style="color:' + alColor(ep.al_out || 0) + '">AL' + (ep.al_out || 0) + ' \u2014 ' + alLabel(ep.al_out || 0) + '</span></div>' +
            (ep.ghost_suspect ? '<div class="tt-row"><span class="tt-label">Ghost</span><span class="tt-value" style="color:#a78bfa">Suspect (' + (ep.ghost_suspect_streak || 0) + ')</span></div>' : '');
          tooltip.classList.add('visible');
          tooltip.style.left = Math.min(e.clientX + 12, window.innerWidth - 240) + 'px';
          tooltip.style.top = (e.clientY - 8) + 'px';
        } else {
          tooltip.classList.remove('visible');
        }
      });
      canvas.addEventListener('mouseleave', function() { tooltip.classList.remove('visible'); });
    
      return barMeta;
    }
    
    // ─── Render ───
    function render() {
      const lastEp = episodes[episodes.length - 1];
      const lastCI = (lastEp.ci_out || 0) / Q16;
      const lastEMA = (lastEp.ci_ema_out || 0) / Q16;
      const lastAL = lastEp.al_out || 0;
      const ghostCount = episodes.filter(function(e) { return e.ghost_confirmed; }).length;
      const cls = classifyCI(lastCI);
    
      // Sidebar gauge cards
      document.getElementById('gauges').innerHTML =
        '<div class="gauge"><div class="gauge-label">Collapse Index</div>' +
          '<div class="gauge-value" style="color:' + cls.color + '">' + (lastCI * 100).toFixed(1) + '%</div>' +
          '<div class="gauge-sub">' + cls.label + '</div></div>' +
        '<div class="gauge"><div class="gauge-label">EMA</div>' +
          '<div class="gauge-value" style="color:#0ea5e9">' + (lastEMA * 100).toFixed(1) + '%</div>' +
          '<div class="gauge-sub">Smoothed trend</div></div>' +
        '<div class="gauge"><div class="gauge-label">Authority</div>' +
          '<div class="gauge-value" style="color:' + alColor(lastAL) + '">AL' + lastAL + '</div>' +
          '<div class="gauge-sub">' + alLabel(lastAL) + '</div></div>' +
        '<div class="gauge"><div class="gauge-label">Ghost</div>' +
          '<div class="gauge-value" style="color:' + (ghostCount ? '#a78bfa' : '#b0b0b0') + '">' + ghostCount + '</div>' +
          '<div class="gauge-sub">' + (ghostCount ? 'Detected' : 'None') + '</div></div>';
    
      // Charts
      var ciVals = episodes.map(function(ep) {
        var ci = (ep.ci_out || 0) / Q16;
        var ghost = ep.ghost_confirmed || false;
        var c = classifyCI(ci);
        return { val: ci, color: ghost ? '#a78bfa' : c.color };
      });
      drawBars('ciChart', ciVals, { maxVal: 1, thresholds: true });
    
      var emaVals = episodes.map(function(ep) {
        return { val: (ep.ci_ema_out || 0) / Q16, color: '#0ea5e9' };
      });
      drawBars('emaChart', emaVals, { maxVal: 1 });
    
      var alVals = episodes.map(function(ep) {
        return { val: ep.al_out || 0, color: alColor(ep.al_out || 0) };
      });
      drawBars('alChart', alVals, { maxVal: 4 });
    
      // Sidebar stats
      var ciNorm = episodes.map(function(ep) { return (ep.ci_out || 0) / Q16; });
      var mean = ciNorm.reduce(function(a, b) { return a + b; }, 0) / ciNorm.length;
      var maxCI = Math.max.apply(null, ciNorm);
      var minCI = Math.min.apply(null, ciNorm);
      var warns = episodes.filter(function(e) { return e.warn; }).length;
      var faults = episodes.filter(function(e) { return e.fault; }).length;
      var mCls = classifyCI(mean);
    
      document.getElementById('stats').innerHTML =
        '<div class="stat-row"><span>Episodes</span><span class="stat-val">' + episodes.length + '</span></div>' +
        '<div class="stat-row"><span>Mean CI</span><span class="stat-val" style="color:' + mCls.color + '">' + (mean * 100).toFixed(1) + '%</span></div>' +
        '<div class="stat-row"><span>Range</span><span class="stat-val">' + (minCI * 100).toFixed(1) + ' \u2013 ' + (maxCI * 100).toFixed(1) + '%</span></div>' +
        '<div class="stat-row"><span>Verdict</span><span class="stat-val" style="color:' + mCls.color + '">' + mCls.label + '</span></div>' +
        (warns ? '<div class="stat-row"><span>Warns</span><span class="stat-val" style="color:#fbbf24">' + warns + '</span></div>' : '') +
        (faults ? '<div class="stat-row"><span>Faults</span><span class="stat-val" style="color:#f87171">' + faults + '</span></div>' : '') +
        (ghostCount ? '<div class="stat-row"><span>Ghosts</span><span class="stat-val" style="color:#a78bfa">' + ghostCount + '</span></div>' : '');
    }
    
    window.addEventListener('resize', render);
    render();
    </script>
    </body>
    </html>`;
    }
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full transparency burden. It clearly states 'no API call, no auth, no credits', indicating a safe, read-only operation. It also describes the output structure. It lacks details on error handling or limitations, but overall provides sufficient 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is four sentences, each serving a distinct purpose: purpose and key constraints, input, output, and usage instructions. No redundant or extraneous text.

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?

Given the tool has 2 parameters, no output schema, and no annotations, the description covers all necessary context: input source, output format and contents, and post-use action. It is fully sufficient for an agent to invoke correctly.

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 100%, so the baseline is 3. The description adds context that 'episodes' comes from an evaluate or fleet_evaluate response and the default title, which is helpful but not substantial beyond the schema.

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 generates an interactive HTML visualization of CI-1T evaluate results, distinguishing itself from sibling tools like evaluate or fleet_evaluate. It specifies the input (episode array) and output (file path with detailed contents), making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says it takes an episode array from evaluate or fleet responses, guiding the agent on when to use it (after evaluation). It also instructs to open the file in a browser or VS Code. However, it doesn't explicitly state when not to use or mention alternatives, which prevents a perfect score.

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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