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list_generations

List saved AI content generations for a project by providing its ID, enabling quick retrieval of past outputs for review or reuse.

Instructions

List saved generations for a CreatorOS project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It communicates that this is a read/list operation, but it does not mention pagination, ordering, output shape, whether full content or metadata is returned, or any access requirements.

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?

The description is a single, front-loaded sentence with no filler. Every word adds meaning, and it is appropriately sized for a simple list operation.

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?

For a tool with no annotations and no output schema, this description is too thin. It omits return-value expectations, pagination/ordering behavior, and how it relates to get_generation for retrieving a single saved generation.

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 description coverage is 0%, so the description needed to compensate. It indirectly references project_id as 'a CreatorOS project,' but it adds no meaningful detail about how the ID is used, what format it expects, or how results are scoped beyond that phrase.

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 ('List') and resource ('saved generations') scoped to a CreatorOS project. It is distinct from generate_* siblings by focusing on already-saved items, though it does not explicitly differentiate from the sibling get_generation.

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 guidance is given about when to use this tool versus get_generation or the generate_* tools. The intended use is implied by the name, but there are no exclusions or alternative routing cues.

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