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cueprecise_outline

Fetches a video's outline and timestamped chapter list. When titles are requested, generates chapter titles from evidence and updates them via the chapter-setting tool.

Instructions

영상 개요와 timestamp 목차를 조회한다. needs_titles가 있으면 근거를 보고 제목을 직접 지은 뒤 cueprecise_set_chapter_titles를 호출한다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
video_idYes
max_entriesNo기본 100

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.2.5

TDQS

B3.1/5.0
Behavior2/5

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

Annotations are absent, so the description must disclose behavior. It indicates a read operation ('retrieve') but does not mention error handling, authentication, rate limits, or side effects. It also references 'needs_titles' without clarifying whether it is a parameter or a data condition, adding ambiguity.

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?

The description is concise (two short sentences) and front-loads the core purpose. However, the reference to 'needs_titles' without schema context introduces confusion, slightly reducing clarity.

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

Completeness2/5

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

With no output schema and no annotations, the description should explain the return structure, parameter usage, and any prerequisites. It only states the retrieval action and a conditional follow-up, omitting details about max_entries behavior, output format, or the nature of 'needs_titles'. This is incomplete for reliable agent usage.

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

Parameters2/5

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

Schema coverage is only 50% (max_entries has a default note, video_id has none). The description does not explain video_id or max_entries, and it introduces 'needs_titles' which is not in the schema. This leaves the agent unclear about required parameters and the meaning of the conditional.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb (retrieve) and resource (video outline and timestamp TOC), and implicitly distinguishes from sibling tools by noting that setting titles is a separate tool. It is specific about what it does, though it could be more explicit about the output format or scope.

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 gives explicit guidance: if needs_titles is present, after reviewing the evidence, create titles and call cueprecise_set_chapter_titles. This tells the agent when to use this tool and what to do next, but it does not explicitly state when not to use it or mention alternatives like excerpt or frames.

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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