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Squall Studio

List segments

list_episode_segments
Read-only

List the video segments in an episode.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
episode_idYesEpisode id.

Schema Changelog

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

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

The readOnlyHint annotation already indicates a safe read operation, and the description is consistent with that. No additional behavioral details are provided, but none contradict the annotation.

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?

A single, clear sentence that is direct and free of unnecessary content, with the key action and object placed at the beginning.

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 simple list operation with a single parameter and no output schema, the description provides sufficient context. It could mention the return format, but that is not required given the minimal scope.

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

Parameters3/5

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

The only parameter, episode_id, is described as 'Episode id.' in both the schema and the tool description. The description adds no further meaning beyond the schema, which has 100% coverage for this parameter.

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 states a specific action ('List') and resource ('video segments in an episode'), clearly distinguishing it from sibling tools like get_episode_shots or list_project_jobs.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives. It only states what it does, leaving the agent to infer the appropriate context without mention of when not to use it.

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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools have clear, distinct purposes, but some overlap exists between get_episode_shots and list_episode_segments, and get_episode_editor vs get_episode could be confused. Overall, the generate/get/list/update families are reasonably distinguishable.

Naming Consistency4/5

The verb_noun pattern is consistently applied across generate_, get_, list_, and update_ tools. Minor deviations like get_episode_editor (which returns a tree rather than an editor) and get_asset_library (rather than list_assets) prevent a perfect score.

Tool Count2/5

With exactly 25 tools, this exceeds the 'too many' threshold of 25+ in the calibration. While the domain is complex, the count feels heavy, especially with many near-duplicate get/list variants.

Completeness2/5

The tool surface is read- and generation-heavy but lacks update operations for characters, episodes, and projects, and has no delete operations at all. This creates notable gaps in lifecycle management, though the existing read/generate coverage is substantial.

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