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minhlecsm

rocketlane-mcp

by minhlecsm

parse_tasks_from_notes

Extract action items from meeting notes and group them into draft tasks by team for user review.

Instructions

Parse a meeting/conversation summary into structured task drafts, grouped by team.

Extracts action items for Filum and Customer teams. Returns draft tasks for user review — DO NOT create tasks yet. After calling this tool, present the draft tasks to the user, ask them to confirm or correct assignees and deadlines, then call create_tasks with the confirmed list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conversation_summaryYesRaw meeting notes or conversation text containing action items / todo lists for each team.
project_idYesRocketlane project ID these tasks belong to.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

The description discloses that the tool returns draft tasks for user review and does not create tasks, making the behavior transparent. Since no annotations are provided, the description carries full burden. It could be more specific about side effects, but the key non-destructive nature is clear.

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 concise and well-structured: a single-sentence purpose followed by a brief workflow summary. No unnecessary words, and critical information is 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?

Given the tool's moderate complexity and the presence of an output schema, the description covers purpose, usage, and behavior adequately. It could mention error handling or input format expectations, but overall it is complete enough for an agent to use correctly.

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 coverage is 100%, and the description already aligns with schema descriptions for both parameters. The description does not add additional meaning beyond what the schema provides, such as format hints or examples, so a baseline score of 3 is appropriate.

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's function: 'Parse a meeting/conversation summary into structured task drafts, grouped by team.' It distinguishes the tool from siblings like create_tasks by explicitly noting that the output is for review and not for immediate creation.

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?

The description provides explicit when-to-use guidance and a procedural workflow: use this tool to parse notes, present drafts to the user for confirmation, then call create_tasks with the confirmed list. It also includes a clear 'DO NOT create tasks yet' instruction.

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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