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list_collections

Browse all collections in the workspace to find organized groups of related resources such as tables, dashboards, and documents.

Instructions

List all collections in the workspace.

Collections are organized groups of related resources (tables, dashboards, documents).
Use this to browse what topic areas and resource groups exist.

Args:
    title: Filter collections by title (optional)
    page: Page number for pagination (default: 1)
    truncate_length: Maximum characters for text fields in results (default: 150)

Returns:
    List of collections with text fields truncated to specified length

Example:
    list_collections(title="Customer")
    list_collections(page=2)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoFilter collections by title (optional)
pageNoPage number for pagination
truncate_lengthNoMaximum characters for text fields in results

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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 explains filtering, pagination, and truncation behavior, but does not disclose whether the operation is read-only (likely), required permissions, or any potential side effects. Adequate but not fully transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with Args, Returns, and Example sections. It is front-loaded with the core purpose. Minor redundancy with schema descriptions, but overall efficient.

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?

Given the presence of an output schema (handling return values), the description covers all necessary aspects: purpose, parameters, and usage example. No gaps identified.

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 the description adds minimal value beyond repeating parameter info. It provides an example usage, which helps illustrate how parameters combine, but does not explain them in more depth than the schema.

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 'List all collections in the workspace' and explains what collections are (organized groups of related resources). It distinguishes from sibling tools like get_collection (single collection) and list_questions/list_resources (different resource types).

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 says 'Use this to browse what topic areas and resource groups exist,' providing clear context for when to use it. It does not explicitly state when not to use it or mention alternatives, but the purpose is well-defined.

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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