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minhlecsm

rocketlane-mcp

by minhlecsm

create_tasks

Creates confirmed tasks in Rocketlane after user confirmation. Requires project ID, task name, description, assignee details, due date, and phase.

Instructions

Create confirmed tasks in Rocketlane. Call this ONLY after user confirmation.

Each task dict must have:

  • project_id (str): Rocketlane project ID

  • task_name (str): Short task subject

  • description (str): Task details

  • assignee_user_id (int): userId from fetch_project_members() — never guess

  • assignee_email (str): emailId of the assignee

  • assignee_first_name (str): Assignee first name

  • assignee_last_name (str): Assignee last name

  • due_date (str | null): YYYY-MM-DD or null

  • phase_id (int): phaseId from fetch_phases() for this project — never guess

  • phase_name (str): phaseName matching the phase_id

Returns: List of created task results. Each result includes phase and assignees fields from the API response confirming they were correctly set.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tasksYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries full burden. It describes the required fields and return format (confirmation of phase and assignees). However, it does not disclose potential side effects (e.g., notifications), error handling, or permissions needed, leaving gaps for a mutation tool.

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 description is longer than average but every sentence adds value. The main purpose is stated upfront, followed by structured field requirements. Minor improvement could be using bullet points for the field list, but it remains clear and direct.

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

Completeness3/5

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

Given the tool's complexity (multiple required fields, sibling tools) and lack of annotations, the description is mostly complete. It explains required fields and return structure. However, it omits error scenarios, idempotency, and dependencies like the need for prior calls to fetch_project_members and fetch_phases.

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 input schema only defines an array of objects with no property schema (0% coverage). The description compensates fully by listing 10 required fields with types, examples ('YYYY-MM-DD'), and constraints ('never guess'). This provides essential semantics beyond the schema.

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 the tool creates confirmed tasks in Rocketlane, distinguishing it from siblings like update_task, delete_task, and get_all_tasks. The verb 'Create' and resource 'tasks' are specific and unambiguous.

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 explicitly says 'Call this ONLY after user confirmation,' providing a critical usage constraint. It also warns against guessing assignee and phase IDs, referencing fetch_project_members() and fetch_phases(). However, it does not clearly state when to use alternative tools like update_task or complete_task.

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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