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List User Stories

user_story_list
Read-only

List user stories in a Taiga project, with optional filters for status, tags, assignee, epic, or milestone. Get paginated results with count and next-page info to navigate large backlogs efficiently.

Instructions

List user_storys, optionally filtered by the given query parameters. Response is { items, pagination } — pagination has { count, current_page, has_next } read from Taiga. Default page_size is 30. Use user_story_filters_data to discover valid status/tags/assigned_to/epic ids cheaply instead of paging through results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNo
epicNo
pageNo1-indexed page number
statusNo
projectYesProject id to scope the list to
milestoneNo
page_sizeNoItems per page. Default 30.
verbosityNoTrims the response's fields to cut token cost. "full" (default) = every field Taiga returns. "standard" drops denormalized *_extra_info objects, *_html duplicate fields, and UI-only ordering fields. "minimal" keeps only id/ref/subject/status/assigned_to/project/is_closed.
Behavior4/5

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

With readOnlyHint=true, the safety profile is already established. The description adds valuable behavioral details: the response shape { items, pagination }, pagination fields, default page_size, and that data is read from Taiga. This goes beyond annotations without contradicting them.

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 with no fluff. Front-loaded with the core purpose, then response structure and a practical hint. Every sentence earns its place without unnecessary detail.

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

Completeness3/5

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

The description covers key aspects like response format, pagination, and a usage hint, but lacks explanations for several query parameters (q, status, epic, milestone) and does not fully clarify the return payload beyond the basic structure. Given no output schema, more detail on parameter meanings would improve completeness.

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 only 50%, and the description does not fully compensate. It explains pagination-related parameters (page/page_size) via the response shape and default, but leaves q, epic, status, and milestone undefined. It also references 'tags/assigned_to' which are not in the schema, adding confusion rather than clarity.

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 uses a specific verb 'List' and resource 'user_storys', and clarifies optional filtering by query parameters. It clearly distinguishes from sibling tools like user_story_get by focusing on listing rather than retrieving a single item.

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?

Provides clear context that this tool lists user stories with optional filters and pagination. Explicitly recommends user_story_filters_data for discovering valid filter values cheaply, which serves as an alternative for exploration. Does not explicitly state when not to use, but the context is clear.

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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