Skip to main content
Glama

cueprecise_set_chapter_titles

Validate and save chapter titles for video outline sections that require them, keeping existing boundaries and original text unchanged.

Instructions

cueprecise_outline의 needs_titles에 대해 호스트가 직접 지은 제목을 검증 후 저장한다. 경계와 원문은 바꿀 수 없다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titlesYes
video_idYes
fingerprintYes

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
Behavior3/5

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

With no annotations provided, the description carries the full behavioral disclosure burden. It discloses two useful traits: titles are validated before saving, and boundaries/original text are immutable. However, '검증' (validation) criteria are undefined, and there's no mention of overwrite behavior, failure handling, or side effects, which is a notable gap for a mutation tool.

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?

Two compact sentences, with the main action front-loaded and the immutability constraint neatly appended. No filler or redundancy; every phrase earns its place. It loses one point because the brevity contributes to the under-specification of validation semantics.

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?

This is a save operation with no annotations, no output schema, and zero parameter documentation in the schema. The description leaves critical unknowns: what validation rules titles must pass, what happens on invalid input, whether existing titles are replaced, and how fingerprint acts. For a state-changing tool, this is under-specified.

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?

The input schema provides zero descriptions for its parameters (0% coverage), so the description must compensate. It clarifies that the titles array holds host-authored titles for needs_titles, but leaves the purpose of video_id and fingerprint entirely unexplained, and doesn't state how the title object's id relates to existing outline data.

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 specific verb+resource combination: validating and saving host-authored titles destined for cueprecise_outline's needs_titles. It also adds a meaningful negative constraint ('경계와 원문은 바꿀 수 없다'), distinguishing the tool's scope from one that edits boundaries or original text. It falls short of a 5 only because no sibling differentiation is explicitly made.

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

Usage Guidelines3/5

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

The description implies the use context: this tool is for the needs_titles field populated by host-authored titles. However, it provides no explicit when-to-use guidance, no exclusion conditions, and no named alternatives, leaving the agent to infer when this tool is appropriate vs. other title-handling tools.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Nattentia/cueprecise'

If you have feedback or need assistance with the MCP directory API, please join our Discord server