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kaiding-ucb

podcast-summarizer-mcp

by kaiding-ucb

analyze_video_start

Launch Gemini video analysis as a background job and get a job_id. Poll for results after completion.

Instructions

Launch Gemini video analysis as a background job. Returns in <1s with a job_id.

This is the default for both single-video and multi-video requests. For multiple videos, fire this tool N times back-to-back (each call returns in <1s with its own job_id) — the analyses run concurrently in background threads, so wall-clock time is bounded by the slowest single video (~3-10 min), NOT N × per-video time. Then poll analyze_video_result(job_id) for each job_id.

Use analyze_videos_batch_start ONLY when the user explicitly says "no rush", "overnight", or for scheduled / cron digests where minutes- to-hours latency is acceptable in exchange for 50% cost savings.

Podcast-length videos take Gemini 3-15 min to analyze, which exceeds typical MCP host request timeouts (Claude Desktop, Claude Code, OpenClaw all cap individual tool calls at ~60s). This tool spawns a background thread and returns immediately; poll analyze_video_result(job_id) to get the finished analysis.

Does NOT update discovery state. Caller is responsible for calling discover_new_videos (which manages state) beforehand.

Args: video_url: Full YouTube URL (https://www.youtube.com/watch?v=...) max_retries: How many Gemini retries on empty/short output (default 3) prompt: Optional override for the analysis prompt. If None, the default ships with an investment-podcast persona — set $VIDEO_ANALYSIS_PROMPT_PATH to change the host-wide default, or pass prompt here for a one-off override (e.g. "summarize this technical talk in 5 bullets").

Returns: { job_id, video_url, status: "pending" }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
video_urlYes
max_retriesNo
promptNo
Behavior5/5

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

No annotations, but the description fully discloses behavior: background job, returns immediately, does not update discovery state, and explains concurrency for multiple videos and timeouts.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

Well-structured with sections, but slightly verbose. Could be trimmed while retaining all necessary information.

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 no output schema and moderate complexity, the description covers behavior, parameters, usage, and next steps (polling). It also explains the rationale for background processing due to timeouts.

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

Parameters5/5

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

Schema coverage is 0%, so the description must explain parameters. It does so thoroughly: video_url as required, max_retries default 3, prompt optional with explanation of default and environment variable override.

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 states it launches Gemini video analysis as a background job, returning quickly with a job_id. It distinguishes from siblings like analyze_videos_batch_start and analyze_video_result, making the purpose clear.

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

Usage Guidelines5/5

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

Explicitly says to use this for single or multi-video requests as the default, and to use analyze_videos_batch_start only when the user says 'no rush' or for scheduled tasks. Also mentions polling for results.

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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