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List tasks

list_tasks
Read-only

List, search, or count Taiga project tasks with filters for story, sprint, status, assignee, tags, and dates to see what remains, what is assigned to you, or how many tasks were finished.

Instructions

List, search or count tasks of a Taiga project: the small pieces of work a user story is split into. Reference number, title, status, assignee, and the story and sprint each task belongs to. Filter by story, sprint, 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 to do on story 42" (story: 42, closed: false), "what am I working on this sprint" (sprint: "current", assigned_to_me: true) or "how many tasks did I finish this month" (assigned_to_me: true, finished_from). The heading gives the count of all matches, so for "how many" a small limit is enough. A project has many tasks, so pass at least one filter. For the stories themselves use list_user_stories; for the description and comments of one task 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_tasks"
  }
}

Input Schema

NameRequiredDescriptionDefault
tagNoOnly items that carry this tag, e.g. "backend". get_project lists the tags of a project.
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.
storyNoReference number of a user story, without the #: only the tasks of that story.
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.
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

A4.7/5.0
Behavior4/5

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

The annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds meaningful operational context beyond that: the heading contains the count of all matches, a small limit suffices for counting questions, and filtering is important because projects have many tasks. It does not discuss auth or rate limits, but for a read-only list tool this is a strong disclosure.

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?

Despite its length, the description is front-loaded and structured: purpose, returned fields, filter capabilities, example queries, count behavior, filtering constraint, and alternatives. Every sentence contributes operational guidance with no filler.

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 15-parameter read-only search/list tool with no output schema, the description covers purpose, filtering strategy, example invocations, pagination-adjacent limit advice, count behavior, and sibling alternatives. An agent has enough information to invoke it correctly without further context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so parameter documentation is already thorough. The description adds value by showing realistic parameter combinations and clarifying special values like sprint: "current" and closed: false within natural-language examples, going beyond the schema's per-parameter text.

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 opens with a precise verb triad ("List, search or count") and resource ("tasks of a Taiga project"), then defines what a task is. It explicitly distinguishes this tool from list_user_stories and get_item, so an agent can choose correctly 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 provides explicit when-to-use guidance with three concrete query-to-parameter mappings ("what is left to do on story 42", "what am I working on this sprint", "how many tasks did I finish this month"). It also states a negative operational constraint ("pass at least one filter") and names the sibling tools for adjacent needs.

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