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delorenj

Wise Mise MCP

by delorenj

create_task

Analyzes task descriptions and project context to suggest optimal domain, complexity level, and implementation, following best practices for task organization.

Instructions

Create a new task with intelligent placement and configuration.

This tool analyzes the task description and project context to suggest the best domain, complexity level, and implementation for a new task. It follows mise best practices for task organization and naming.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domain_hintNoHint about which domain this task belongs to
project_pathYesPath to the project directory
suggested_nameNoSuggested task name
force_complexityNoForce complexity level (simple/moderate/complex)
task_descriptionYesDescription of what the task should do

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It mentions intelligent analysis and best practices, but does not detail side effects (e.g., file modifications), required permissions, or error conditions. This is moderately informative but leaves gaps.

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?

Two sentences with no wasted words. The first sentence front-loads the primary action, and the second adds relevant detail. Every sentence earns its place.

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 has 5 parameters and an output schema, the description is moderately complete. It explains the intelligent behavior but omits prerequisites (e.g., valid project path), output expectations, or post-conditions. It does not leverage the output schema to explain return values, but that is not required.

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?

All 5 parameters have descriptions in the schema (100% coverage), so the description adds little beyond stating that parameters like domain_hint and force_complexity influence intelligent behavior. The baseline of 3 is appropriate as the description does not compensate for any missing schema details.

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 clearly states the tool creates a new task with intelligent placement and configuration, which distinguishes it from sibling tools like remove_task or get_task_recommendations. However, it emphasizes 'suggests' which could imply it only recommends rather than creates, causing slight ambiguity.

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 explicit guidance on when to use this tool versus alternatives like get_task_recommendations or analyze_project_for_tasks. The description implies it is for creating tasks, but does not specify when creation is appropriate versus when to use analysis or validation tools.

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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