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jimfisher

MCP Task Management Server

by jimfisher

create_task

Creates a new task with optional group, status, and metadata to track user requests and break down complex work into manageable items.

Instructions

Create a new task with optional group, status, and metadata. AI should use this to track user requests and break down complex work into manageable tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTags for categorization
titleYesTask title (required)
dueDateNoDue date in ISO format
groupIdNoGroup ID to organize related tasks
summaryNoBrief summary of the task
assigneeNoPerson assigned to the task
priorityNoTask priority
statusIdNoStatus ID (defaults to default status)
descriptionNoDetailed description in markdown format
estimatedHoursNoEstimated hours to complete
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 'Create a new task' without covering return values, permission requirements, output format, or side effects. This is a significant gap for a mutation tool without any annotation support.

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 two sentences long, front-loaded with the core action 'Create a new task', followed by concise usage guidance. Every sentence earns its place with no redundancy.

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?

The schema covers all 10 parameters well, and the description adds usage context. However, there is no output schema, and the description does not mention return values, error behavior, or alternatives like bulk creation. It is adequate but not fully complete for a tool with this complexity.

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 mentions 'optional group, status, and metadata' but adds no extra meaning beyond what the schema already provides for each parameter. It does not compensate for any schema gaps because there are none.

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 starts with the specific verb+resource 'Create a new task' and notes optional group, status, and metadata. This clearly distinguishes it from siblings like update_task and bulk_create_tasks. The purpose is 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 second sentence explicitly states when to use this tool: 'AI should use this to track user requests and break down complex work into manageable tasks.' This provides clear context, but it does not mention alternatives or when not to use (e.g., bulk_create_tasks for multiple tasks).

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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