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Glama

List Generations

list_generations
Read-onlyIdempotent

The caller's own recent image and video generations on this account, newest first, including ones made on the website. Use it to find an earlier result to show again, edit or animate, then use its task id with check_generation or its URL with edit_image / generate_video. Free; returns records only and never starts anything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNo
limitNoDefault 10
queryNoCase-insensitive text to look for in the prompt
statusNo

Schema Changelog

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

  1. Added

TDQS

A4.7/5.0
Behavior5/5

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

The annotations already mark the operation as read-only and non-destructive, and the description adds valuable behavioral context: it is free, returns records only, never starts anything, and is scoped to the caller's own account. There is no contradiction with the annotations.

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 sentences, each earning its place: what is listed, how to use the results, and the side-effect/safety note. The key scoping detail is front-loaded.

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

Completeness5/5

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

For a read-only list tool with optional filters and no output schema, the description is complete enough: it covers scope, ordering, side-effect absence, and how to consume the returned task ids/URLs with downstream tools. The annotations cover the safety profile, so nothing essential is missing.

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 input schema has descriptions for limit and query, but type and status are only bare enums. The description partially compensates by clarifying the content is image and video generations and that results are newest first, but it does not explain the type/status filter semantics or parameter combinations beyond what the schema already offers.

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 verb and resource: listing the caller's own recent image and video generations, newest first, including website-made generations. This scope distinguishes it clearly from siblings like check_generation, edit_image, and generate_video.

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

Usage Guidelines5/5

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

The description explicitly says when to use it: to find an earlier result to show again, edit, or animate. It also routes the agent to the correct next tools by mentioning task ids with check_generation and URLs with edit_image / generate_video.

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

A4.5/5.0
Disambiguation5/5

Each tool has a clear, non-overlapping purpose: generate_image and generate_video target different media types, check_generation queries a specific task, list_generations shows history, quote_generation estimates cost, get_credits shows balance, edit_image modifies an existing image, and list_models shows options. No two tools can be easily confused.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (e.g., generate_image, check_generation, list_models, get_credits). Naming is uniform and predictable, with no mixed conventions or deviations.

Tool Count5/5

Eight tools is well within the ideal range for a domain-specific service. Each tool serves a distinct function, and none feel redundant or excessive. The count is appropriate for the complexity of image/video generation and management.

Completeness5/5

The tool set covers the full lifecycle of generation tasks: creating (image/video), editing, checking status, listing history, managing credits, exploring models, and quoting costs. No obvious gaps exist for the stated purpose of a generation service.

Resources