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check_job

Monitor the progress of an async generation job. Retrieve completion status, result URLs, and tokens charged when done, or error message if failed.

Instructions

Poll an async generation job (created by generate_video, or by avots web/Telegram). Free (no tokens). Returns status: queued|running|completed|failed. On completed: result URLs + final tokens_charged. On failed: error_message. Polling cadence: every 30 seconds for the first 3 minutes, then every 60 seconds. Keep polling for up to 10 minutes before assuming the job is stuck — provider queues can legitimately hold a video request 5+ minutes during peak hours. NEVER report failure to the user based on a slow status="queued"; only on explicit status="failed". The response does NOT include audio-track metadata — different models produce sound under different conditions and we do not probe the resulting media. Do not claim "no sound" or "has sound" in your reply; let the user play the file to find out.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesUUID returned by generate_video.
Behavior5/5

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

No annotations provided, but description fully discloses behavior: free tokens, status meanings, response content, audio metadata absence, and provider queue realities.

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?

Description is slightly verbose but every sentence serves a purpose. Could be tightened (e.g., merge polling cadence statements), but overall efficient.

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?

Despite no output schema, description covers all critical aspects: polling behavior, status interpretation, error handling, and caveats about audio. Complete for a polling tool.

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 coverage is 100% for the single parameter; description adds minimal extra context beyond schema (mentions UUID source). Baseline 3 is appropriate.

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?

Clearly states the tool polls async generation jobs, specifies source tools (generate_video, avots web/Telegram), and distinguishes from sibling tools by function.

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?

Provides explicit polling cadence, timeout advice, and crucial instructions on handling statuses (e.g., not reporting failure on 'queued', not claiming audio presence).

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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