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List user stories

list_user_stories
Read-only

List, search, or count Taiga project user stories by sprint, status, assignee, tag, epic, or dates to answer questions like what remains in the current sprint or backlog.

Instructions

List, search or count user stories of a Taiga project in board order: reference number, title, status, assignee, points and sprint. Filter by sprint, epic, status, open or closed, assignee, tag, the days they were created or finished in, or words in the text. Use it for questions such as "what is left in the current sprint" (sprint: "current", closed: false), "what is in the backlog", "what is Linh working on" (assigned_to: "Linh"), "how many stories did I finish in October" (assigned_to_me: true, finished_from, finished_to) or "the story about PDF export" (search: "pdf export"). The heading gives the count of all matches, so for "how many" a small limit is enough. Bugs and requests are issues: use list_issues. The small pieces of work inside a story are tasks: use list_tasks. For the description and comments of one story use get_item.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "project": "<project>"
    },
    "name": "list_user_stories"
  }
}

Input Schema

NameRequiredDescriptionDefault
tagNoOnly items that carry this tag, e.g. "backend". get_project lists the tags of a project.
epicNoReference number of an epic from list_epics, without the #: only the stories under it.
pageNoWhich part of a long list, counted from 1. When an answer says more items exist, call again with the next page and the same `limit` and filters.
limitNoMost items to return in one answer (default 30, at most 100). The answer says how many more exist.
closedNofalse: only items still open ("not done yet", "remaining"). true: only closed ones. Leave out for both.
searchNoWords to look for in titles, descriptions and tags, e.g. "invoice export". An item must contain every word; a word also matches the beginning of a longer one. Use it when the user describes an item instead of giving its number.
sprintNoA sprint name from list_sprints, or "current" for the sprint running today, or "backlog" for stories in no sprint. Leave out for stories of every sprint and the backlog.
statusNoExact status name, e.g. "In progress". Each project defines its own; a wrong name is answered with the valid ones. For "open" or "done" in general use `closed` instead.
projectYesProject slug as given by list_projects, e.g. "acme-billing". Not the display name.
created_toNoOnly items created on or before this day, as YYYY-MM-DD (UTC).
assigned_toNoOnly items assigned to this person: full name or username as in Taiga; part of the name is enough when it fits one member only, and accents may be left out. "unassigned" for items assigned to nobody. A name that does not fit is answered with the members. For the signed-in user use `assigned_to_me`.
finished_toNoOnly items closed on or before this day, as YYYY-MM-DD (UTC). Items still open are left out.
created_fromNoOnly items created on or after this day, as YYYY-MM-DD (UTC).
finished_fromNoOnly items closed on or after this day, as YYYY-MM-DD (UTC). Items still open are left out.
assigned_to_meNotrue: only items assigned to the signed-in user ("my stories", "assigned to me").

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already establish this as a read-only, open-world operation, and the description adds framing the annotations do not: results come back in board order, the response heading carries the total match count, and a small `limit` suffices for counting questions. It does not discuss rate limits or failure modes, but for a filtered read tool that is a minor omission.

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 purpose and scope are front-loaded, followed by filters and then routing to siblings, which is the right order for an agent. It is dense but somewhat long, with several illustrative examples that repeat the same parameter-plus-intent pattern and could be trimmed without losing information.

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?

With no output schema, the description still tells the agent what each result row contains and where the total count appears, which is exactly what is needed to answer counting questions. For a read-only list tool with a fully documented 15-parameter schema, nothing essential is missing.

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 schema already defines every one of the 15 parameters, including sprint's "current"/"backlog" tokens and the "unassigned" value for assigned_to. The description's contribution is mainly illustrating filter combinations in worked examples rather than adding new parameter meaning, which lands at the baseline for fully documented schemas.

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 opening sentence names the exact verb and resource ('list, search or count user stories'), the scope ('of a Taiga project in board order') and the fields returned (reference, title, status, assignee, points, sprint). It then explicitly separates itself from list_issues, list_tasks and get_item, so an agent can route without opening sibling schemas.

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

Usage Guidelines5/5

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

It states when to use this tool with concrete user-question patterns mapped to parameters ('what is left in the current sprint' → sprint: "current", closed: false; 'how many did I finish in October' → assigned_to_me plus finished_from/finished_to). It also names three alternatives and the condition that selects each, covering bugs/requests, tasks, and single-story detail.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.