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u2n4

video-url-analyzer-mcp

by u2n4

check_analysis_job

Check the status of a background video analysis job by polling with the job ID until completed or failed.

Instructions

Check the status of a background video analysis job.

When analyze_video, get_transcript, ask_about_video, or watch_and_analyze returns a job_id (for TikTok/Instagram videos), use this tool to poll for the result. Keep calling until status is "completed" or "failed".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesThe job ID returned by the analysis tool.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries full burden. It discloses the polling nature and termination condition, implying repeated calls are safe. It could mention rate limits or read-only aspect, but is adequate.

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?

Three efficient sentences front-load the core purpose and immediately provide actionable usage guidance. No redundant words.

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?

For a simple polling tool with one parameter and an output schema, the description covers purpose, trigger condition, and polling logic. It is fully sufficient for correct invocation.

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 100% and the description adds context (TikTok/Instagram videos, linking job_id to specific tools) that enriches the parameter meaning beyond the schema's description.

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 it checks the status of background video analysis jobs. It explicitly references sibling tools (analyze_video, get_transcript, etc.) to differentiate its role.

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?

It explains exactly when to use the tool (when sibling tools return a job_id) and provides explicit polling behavior: keep calling until status is 'completed' or 'failed'.

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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