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Bulk Create Tasks (Import)

bulk_create_tasks

Use this when the user wants to import many tasks at once — a CSV/JSON export from Linear, Jira, Notion or Trello, or any list of 3+ tasks from the conversation. Creates the whole batch in ONE call and one database transaction (all-or-nothing) instead of N create_task calls, so it is far cheaper on the monthly AI-call quota. Address columns by semantic ('backlog'/'todo'/'doing'/'done') or name; if the export references cycles/iterations, create the sprints first (create_sprint) and pass their sprintId per task. Tasks land in each column in array order, after the column's existing tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tasksYesTasks to create, in order

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Discloses key behavioral traits beyond the annotations: the all-or-nothing transaction, ordering ('Tasks land in each column in array order'), and append behavior ('after the column's existing tasks'), and a quota-cost rationale. These add meaningful context that the sparse annotations do not provide.

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 information-dense and well-structured: usage trigger, benefit, column semantics, sprint prerequisite, and ordering behavior follow in a logical flow. Every sentence carries necessary guidance, earning its place, and key constraints are front-loaded.

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 bulk operation with a single parameter and rich schema, the description is nearly complete: it covers when to use, how to handle sprints, and behavioral guarantees. It does not describe the response format or error behavior, but there is no output schema, and the all-or-nothing behavior is already stated.

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

Parameters5/5

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

The single top-level parameter is described in the schema ('Tasks to create, in order'), but the description goes further by explaining how to address columns (semantic or name) and how to handle sprintId when exports reference cycles/iterations. This adds operational meaning beyond the schema fields.

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 states a specific verb and resource: 'import many tasks at once' and 'Creates the whole batch in ONE call', distinguishing this from create_task by name ('instead of N create_task calls'). It also names sibling create_sprint for related workflow. An agent can clearly identify what this tool does.

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?

Explicitly opens with 'Use this when the user wants to import many tasks at once' and specifies the condition of '3+ tasks'. It names create_task as the alternative for single-task creation and gives workflow guidance for cycle/iteration fields by instructing to create sprints first via create_sprint.

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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