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list_public_generations

Read-only

List public published generations. Optional kind, model, and limit filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoOptional product kind filter (topic_short, video_lab, story, talking_short, ad_studio, character_film, and other public kinds).
limitNoMaximum number of public pages to return.
modelNoOptional model slug filter for Video Lab or Image Lab publications.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
publicationsNoLive public generations.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / kind / description
      Previous value: -"Optional product kind filter (topic_short, video_lab, story, talking_short, ad_studio, and other public kinds)."New value: +"Optional product kind filter (topic_short, video_lab, story, talking_short, ad_studio, character_film, and other public kinds)."
  2. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the read-only nature is known. The description adds the 'public published' scope, which is useful context beyond annotations. However, it does not disclose pagination, sorting, or any response format details, though the output schema likely covers some of that.

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, efficient sentence that front-loads the action and scope, followed by a list of filters. There is no wasted words or redundant details.

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 read-only list tool with an output schema and full parameter documentation, the description is largely sufficient. It clearly states the resource and available filters. The only gap is lack of explicit differentiation from sibling list tools, but that is already addressed in purpose clarity. Overall, an agent can call this tool correctly with the given information.

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 description coverage is 100%, so all three parameters (kind, model, limit) are fully documented in the schema. The description merely lists them without adding syntax, defaults, or examples, so it provides no extra value 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 clearly states the verb 'List' and the resource 'public published generations', which distinguishes it from sibling tools like get_public_generation (singular) and list_public_products. It also implies a broad scope across all generation types, setting it apart from type-specific lists like list_ad_generations.

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 gives context by specifying 'public published generations' but does not explicitly contrast with alternatives. It neither states when to use this over type-specific list tools nor excludes private generations. Since many sibling list tools exist, more explicit routing would be helpful, but the description is not misleading.

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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