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List Epic's Linked User Stories

epic_related_user_stories
Read-only

List user stories linked to an epic by providing its ID. Supports pagination and verbosity options for tailored responses.

Instructions

List the user stories linked to an epic. Response is { items, pagination }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesEpic id
pageNo1-indexed page number
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?

Annotations already declare readOnlyHint=true, so the read-only nature is covered. The description adds value by stating the response shape '{ items, pagination }', which informs the agent about the returned structure and pagination. No contradiction with annotations.

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 extremely concise: two short sentences that state the action and response format. It is front-loaded with the primary purpose and contains no fluff or repetition.

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 operation with well-documented parameters and a clear response shape, the description is adequately complete. It covers the core function and returns an expected structure, though it does not mention potential edge cases like empty results or error conditions.

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?

The input schema has 100% coverage, with detailed descriptions for all parameters including 'id', 'page', 'page_size', and 'verbosity'. The description adds no extra parameter-level meaning beyond what the schema provides, so a baseline score of 3 is appropriate.

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 a specific verb and resource: 'List the user stories linked to an epic.' This distinguishes it from siblings like epic_list (lists epics) and user_story_list (lists all user stories), and directly maps to the tool's name and title.

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 provides clear context for when to use this tool (to fetch user stories belonging to a particular epic), effectively differentiating it from alternatives such as epic_get or user_story_get. It does not explicitly name alternatives or exclusions, but the scope is unambiguous.

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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