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runrunit_list_tasks

Retrieve Runrun.it tasks filtered by project, assignee, status, or board stage to get accurate lists for project tracking and workflow management.

Instructions

List tasks from Runrun.it. Optional filters: ids, user_id, follower_id, responsible_id, assignee_id, filter_id, board_stage_id, project_id, is_closed, is_working_on, sort, sort_dir, page, limit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsNoComma-separated task IDs
pageNoPage number (default 1)
sortNoSort field (e.g. close_date, queue_position)
limitNoItems per page (1-100)
user_idNoCreator user ID
sort_dirNoSort direction
filter_idNoID of a task filter (e.g. 'Minhas partes abertas')
is_closedNoFilter by delivered tasks
project_idNoProject ID
assignee_idNoAssignee/executor principal user ID
follower_idNoFollower user ID
is_working_onNoFilter by in progress
board_stage_idNoFilter by board stage (e.g. Ongoing)
responsible_idNoResponsible/assignee user ID (e.g. for 'Minhas partes abertas')

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.8.1

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the action and lists filters; it does not disclose pagination behavior, default limits, filter combinability, read-only nature, or any side effects.

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

Conciseness3/5

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

The description is a single front-loaded sentence, which is concise. However, the trailing list of filters adds no new information beyond the schema and is somewhat redundant, though not bloated.

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

Completeness2/5

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

With 14 optional parameters, no output schema, and no annotations, the description is too thin to fully support correct invocation. Missing are the response shape, pagination defaults, and whether filters combine; an agent would need to infer or probe.

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 baseline is 3. The description only repeats parameter names already present in the schema and provides no additional meaning about formats, dependencies, or how filters interact.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb+resource ('List tasks from Runrun.it') with an explicit filter list, making its primary action clear. It is distinguishable from siblings like get_task, create_task, and list_subtasks, although it doesn't explicitly contrast itself with them.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus get_task, list_subtasks, or other list tools. The phrase 'Optional filters' implies filtering capability but does not state contexts, exclusions, or alternatives.

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