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beekamai
by beekamai

stream_status

Retrieve status of a screen capture stream session, including frame count, time remaining, and metadata for recent frames.

Instructions

Snapshot of a running or finished stream session - frame count, time remaining, last frames metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
lastNNo

Implementation Reference

  • Handler that calls snapshotStream and returns the status snapshot for a stream session
    case "stream_status": {
      const id = strArg(args, "id");
      const lastN = numArg(args, "lastN", 8);
      const snap = snapshotStream(id, { lastN });
      if (!snap) return text({ error: `Unknown stream id: ${id}` });
      return text(snap);
    }
  • Input schema definition for stream_status tool - requires 'id' string, optional 'lastN' integer defaulting to 8
    {
      name: "stream_status",
      description: "Snapshot of a running or finished stream session - frame count, time remaining, last frames metadata.",
      inputSchema: {
        type: "object",
        required: ["id"],
        properties: {
          id: { type: "string" },
          lastN: { type: "integer", default: 8 },
        },
      },
    },
  • src/index.ts:37-165 (registration)
    Tool registration for stream_status (line 118) within ListToolsRequestSchema handler
    server.setRequestHandler(ListToolsRequestSchema, async () => ({
      tools: [
        {
          name: "screenshot",
          description:
            "Capture a single screenshot of the desktop. Persists the file to disk and " +
            "optionally returns a base64 payload. Set cursorRadius>0 to crop a square " +
            "region around the mouse cursor instead of the full screen.",
          inputSchema: {
            type: "object",
            properties: {
              cursorRadius: {
                type: "integer",
                description: "If >0, crop a square of (2*radius)x(2*radius) px centered on the cursor. 0 = full screen.",
                default: 0,
              },
              format: { type: "string", enum: ["png", "jpeg", "webp"], default: "jpeg" },
              quality: { type: "integer", minimum: 1, maximum: 100, default: 82 },
              maxEdge: {
                type: "integer",
                description: "Resize the longest edge to this many pixels. 0 disables resizing. " +
                  "Default 2400 for full screen; with cursorRadius>0 the cursor crop is kept at native resolution unless overridden.",
              },
              display: {
                type: "integer",
                description: "Optional display index for multi-monitor setups (omit for primary).",
              },
              includeBase64: {
                type: "boolean",
                description: "If true, include the image bytes inline in the response. Default true.",
                default: true,
              },
            },
          },
        },
        {
          name: "cursor_info",
          description:
            "Return the current mouse cursor position, the foreground window title, and the " +
            "title of the window directly under the cursor (Windows only; other platforms " +
            "report position only when available).",
          inputSchema: { type: "object", properties: {} },
        },
        {
          name: "stream_start",
          description:
            "Start a periodic capture session. Saves frames to disk every intervalSeconds " +
            "for at most durationSeconds, keeping the last ringCapacity frames in memory. " +
            "Returns a session id used by stream_status / stream_latest / stream_stop. " +
            "Streams default to disk-only to keep LLM context lean - call stream_latest " +
            "with includeBase64=true when you actually want to look at a frame.",
          inputSchema: {
            type: "object",
            required: ["intervalSeconds", "durationSeconds"],
            properties: {
              intervalSeconds: {
                type: "number",
                minimum: 0.25,
                description: "Seconds between frames. Minimum 0.25.",
              },
              durationSeconds: {
                type: "number",
                minimum: 0.25,
                description: "Total duration of the stream in seconds.",
              },
              cursorRadius: { type: "integer", default: 0 },
              format: { type: "string", enum: ["png", "jpeg", "webp"], default: "jpeg" },
              quality: { type: "integer", minimum: 1, maximum: 100, default: 72 },
              maxEdge: {
                type: "integer",
                description: "Longest edge in px. Default 1920 for full-screen frames; cursor crops keep native resolution unless overridden.",
              },
              ringCapacity: {
                type: "integer",
                description: "Maximum number of recent frames kept in memory. Older frames are evicted (still on disk).",
                default: 60,
              },
            },
          },
        },
        {
          name: "stream_status",
          description: "Snapshot of a running or finished stream session - frame count, time remaining, last frames metadata.",
          inputSchema: {
            type: "object",
            required: ["id"],
            properties: {
              id: { type: "string" },
              lastN: { type: "integer", default: 8 },
            },
          },
        },
        {
          name: "stream_latest",
          description:
            "Read the most recent frame of a stream from disk and return it as base64. Use sparingly - this is the path that actually puts pixels into the LLM context.",
          inputSchema: {
            type: "object",
            required: ["id"],
            properties: {
              id: { type: "string" },
            },
          },
        },
        {
          name: "stream_stop",
          description: "Stop a running stream early. Frames already on disk remain.",
          inputSchema: {
            type: "object",
            required: ["id"],
            properties: { id: { type: "string" } },
          },
        },
        {
          name: "stream_list",
          description: "List active and completed stream sessions known to this process.",
          inputSchema: { type: "object", properties: {} },
        },
        {
          name: "stream_drop",
          description: "Forget a finished stream session (frees its in-memory ring; on-disk files are preserved).",
          inputSchema: {
            type: "object",
            required: ["id"],
            properties: { id: { type: "string" } },
          },
        },
      ],
    }));
  • snapshotStream - the helper function that retrieves a stream session and builds its snapshot including frame metadata
    export function snapshotStream(
      id: string,
      options: { withBase64?: boolean; lastN?: number } = {}
    ): (StreamSnapshot & { latestBase64?: string }) | null {
      const sess = sessions.get(id);
      if (!sess) return null;
      const lastN = options.lastN ?? Math.min(8, sess.frames.length);
      const slice = sess.frames.slice(-lastN);
      const summary: StreamSnapshot = {
        id: sess.id,
        startedAt: sess.startedAt,
        done: sess.done,
        remainingMs: Math.max(0, sess.stopAt - Date.now()),
        frameCount: sess.frames.length,
        capacity: sess.capacity,
        intervalMs: sess.intervalMs,
        error: sess.error,
        frames: slice.map(({ base64, ...rest }) => rest),
      };
      if (options.withBase64 && slice.length > 0) {
        /* Most recent frame only - re-reading from disk avoids holding base64 in
         * the session object itself. */
        return { ...summary, latestBase64: undefined };
      }
      return summary;
    }
  • StreamSnapshot interface defining the shape of the data returned by stream_status
    export interface StreamSnapshot {
      id: string;
      startedAt: number;
      done: boolean;
      remainingMs: number;
      frameCount: number;
      capacity: number;
      intervalMs: number;
      error?: string;
      frames: Array<Omit<CaptureResult, "base64">>;
    }
Behavior3/5

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

With no annotations, the description discloses key behavioral traits: it gives a snapshot of running or finished sessions, includes frame count, time remaining, and last frames metadata. However, it does not state if it is read-only or what happens if the session does not exist.

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 a single, efficient sentence (14 words) that immediately conveys the tool's purpose and key output items. No unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given two parameters (one optional) and no output schema, the description should clarify how parameters affect output and describe the return format. It only lists output attributes without detail on structure or behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the description does not explain the 'id' or 'lastN' parameters. The agent must infer their meaning from names alone, which is insufficient.

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 provides a snapshot of a stream session with frame count, time remaining, and last frames metadata. It distinguishes from siblings like stream_latest (which likely gives only latest frames) and stream_list (which lists sessions).

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives such as stream_latest or stream_status. The description does not mention explicitly that this is for overall status rather than just the latest frames.

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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