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list_asset_segments

Retrieve all segments for an asset, including markers, chapters, transcriptions, and more. Filter by type to locate specific annotations.

Instructions

List all segments (markers, chapters, transcriptions, etc.) for an asset

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
asset_idYesThe asset UUID
per_pageNo
segment_typeNoFilter by segment type

Schema Changelog

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

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses the high-level listing behavior but does not mention that results are paginated via page/per_page, that a segment_type filter can narrow results, or what the response shape is. The phrase 'all segments' is also slightly misleading given pagination.

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?

One front-loaded sentence with no filler. The verb, resource, scope, and illustrative segment types are all present in a compact, readable form.

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 four parameters, no annotations, and no output schema, the description is too sparse to fully guide invocation. It does not cover pagination limits, optional filtering behavior, or how this listing relates to sibling segment tools such as get_asset_segment and search_segments.

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?

Schema coverage is 50%, with descriptions for asset_id and segment_type but not page/per_page. The description adds useful context by listing example segment types, but it does not explain pagination defaults or how segment_type interacts with the listing. Overall, the schema and defaults carry most of the parameter meaning.

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 uses a specific verb and resource: 'List all segments... for an asset' with concrete examples of segment types. It clearly distinguishes from singular get_asset_segment and search/export segment tools by emphasizing the listing scope.

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 tool is for listing segments per asset, which is clear context, but it does not explicitly state when to prefer this over alternatives like search_segments, get_asset_segment, or export_segments_srt. Usage is inferred rather than stated.

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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