Skip to main content
Glama

lipsync_episode

Batch lip-sync an entire episode in the background. Submit an episode ID and track progress with get_lipsync_status. Pay per use.

Instructions

给整集批量口型同步。后台异步,按用量后付。用 get_lipsync_status 查进度。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
episode_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.57

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it discloses two key behaviors: the operation runs asynchronously in the background ('后台异步') and is billed by usage after the fact ('按用量后付'). It does not mention whether existing lip-sync data is overwritten or what failure modes exist, but the most important operational traits are covered.

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 sentences with no filler: what it does, how it runs, and how to track it. The core action is front-loaded, and every sentence earns its place.

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

Completeness4/5

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

For a one-parameter, asynchronous submission tool with no output schema, the description covers invocation, async semantics, cost model, and progress tracking. It could add prerequisites such as requiring existing audio/dialogue, but nothing essential to calling it correctly is missing.

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 one parameter and schema description coverage is 0%, but episode_id is self-explanatory and the description's '整集' maps directly to the target episode. The description adds context that the operation covers the full episode rather than a single shot, which is meaningful beyond the raw schema.

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 opening phrase '给整集批量口型同步' states a specific action (batch lip-sync) and resource (whole episode), which clearly distinguishes it from sibling lipsync_shot. The mention of async submission and checking progress via get_lipsync_status further clarifies the tool's role.

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

Usage Guidelines4/5

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

The description explicitly tells the agent to use get_lipsync_status to poll progress, which is a concrete routing instruction. It does not explicitly state when to use lipsync_shot instead, though '整集' (whole episode) implicitly contrasts with the shot-level sibling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools