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list_collections

Read-onlyIdempotent

Retrieve prompt collections in your workspace with optional name or workspace filtering. Returns IDs, names, slugs, and timestamps to select a collection for subsequent prompts.

Instructions

List prompt collections in the workspace, optionally filtering by name or workspace. Returns ids, names, slugs, and timestamps so you can choose a collection_id before create_prompt, get_collection, or list_prompts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoSearch collections by name
page_sizeNoResults per page (max 100)
current_pageNoPage number for pagination
workspace_idNoFilter by workspace ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool call succeeded and returned structured data
dataNoStructured success payload when ok is true
errorNoStructured error payload when ok is false
Behavior4/5

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

Annotations already indicate readOnly, openWorld, idempotent, and non-destructive. The description adds value by specifying the return fields (ids, names, slugs, timestamps) and filtering options, which is useful additional context.

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 concise: two sentences that cover purpose, filtering, return fields, and usage context with no redundant words. Front-loaded with the main action.

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 4 optional parameters and an output schema (not shown but mentioned), the description adequately conveys the return fields and intended use case, making it complete for an agent.

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 100%, so baseline is 3. The description mentions filtering by name or workspace, which aligns with the search and workspace_id parameters, but does not add new information beyond the schema descriptions.

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', resource 'prompt collections', scope 'in the workspace', and optional filters. It also distinguishes from sibling tools by mentioning it returns collection_id for use with create_prompt, get_collection, or list_prompts.

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

Usage Guidelines4/5

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

The description explicitly tells when to use this tool: to obtain a collection_id before creating prompts or listing prompts. While it doesn't state when not to use it or name alternatives, the context is sufficient for an agent.

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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