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Check import progress

livereacting_get_import_status
Read-onlyIdempotent

Check how far an import started by livereacting_import_media or livereacting_import_from_url has got. Returns the status, a progress percentage and pollAfterSeconds, the number of seconds to wait before asking again. Poll no more often than once every 10 seconds: the account is limited to 150 requests per minute in total, and a tight loop spends that budget on nothing.

done only means the transfer finished. It does not mean the file can be used: an imported video very often still needs encoding, and a playlist built with it is refused until that is done. Read usable, which is true only when the file can go straight into a playlist, and nextStep, which names the tool to call when it cannot.

A YouTube playlist import answers for the whole group: isFolder is true and files lists each video with its own status. The fileId keeps working after the import finishes and can be polled again at any time. The files list reflects the videos that exist now, so it shrinks if one is deleted later. It names the videos but not their ids; call livereacting_list_media to get those.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileIdYesThe fileId returned by livereacting_import_media or livereacting_import_from_url.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnly/idempotent/non-destructive, and the description goes well beyond them: per-account rate limit, minimum poll interval, the semantic gap between transfer completion and encodability, playlist refusal behavior, fileId persistence after completion, and the fact that `files` reflects live state and can shrink. None of this is derivable from the annotations.

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 short paragraphs, each with a distinct job: return fields first, then the done-vs-usable caveat and rate limit, then the YouTube playlist/folder special case. No sentence is decorative, and the most important output field names are front-loaded.

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?

There is no output schema, so the description carries the full burden of describing return values, and it does: status, progress percentage, pollAfterSeconds, usable, nextStep, isFolder, and files. It also closes the obvious follow-up gap by noting that `files` names videos without ids and pointing at livereacting_list_media.

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

Parameters4/5

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

There is only one parameter and schema coverage is 100%, so the schema already documents the fileId pattern and origin. The description nonetheless adds lifecycle meaning the schema lacks: the fileId remains valid and pollable after the import finishes, which tells the agent it can re-invoke rather than cache a one-shot token.

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 opens with a specific verb+resource ('Check how far an import ... has got') and names the exact sibling tools that produce the fileId (livereacting_import_media, livereacting_import_from_url). It also enumerates what the call returns (status, progress percentage, pollAfterSeconds), so an agent can distinguish it from livereacting_get_encode_status without opening a schema.

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 states the trigger condition (after an import started by one of the two import tools), the polling cadence (no more often than once every 10 seconds), the reason (150 req/min account budget), and where to go next via `nextStep` when `usable` is false. The distinction between `done` and `usable` is explicitly flagged as a usage trap, which is exactly the kind of when/when-not guidance this dimension rewards.

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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