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jules_quick_task

Assign coding tasks to Jules AI with GitHub repository integration. Provide a task description and repository to generate code changes, create pull requests, and synchronize AI-generated modifications.

Instructions

Simplest way to assign a task to Jules with sensible defaults.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesTask description
repoYesGitHub repository (owner/repo)
branchNoStarting branch (default: main)
createPrNoAuto-create PR (default: true)
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. It mentions 'assign a task' and 'sensible defaults', but fails to disclose critical behavioral traits such as what 'assign' entails (e.g., does it trigger immediate execution, require approval, or have side effects?), authentication needs, rate limits, or error handling. This leaves significant gaps for an agent to understand the tool's behavior.

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 a single, efficient sentence that front-loads key information ('Simplest way to assign a task') and avoids unnecessary details. Every word contributes to conveying the tool's essence without waste, making it highly concise and well-structured.

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

Completeness2/5

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

Given the complexity of task assignment (likely involving mutations and workflows), no annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects, return values, or error conditions, leaving the agent with insufficient context to use the tool effectively beyond basic parameter input.

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 schema fully documents all parameters. The description adds no additional meaning beyond implying 'sensible defaults' for parameters like 'branch' and 'createPr', but doesn't elaborate on their semantics or usage. This meets the baseline of 3 when schema coverage is high.

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 action ('assign a task to Jules') and the resource ('task'), making the purpose understandable. It distinguishes itself from siblings like 'jules_create_session' by emphasizing 'simplest way' and 'sensible defaults', but doesn't explicitly contrast functionality with all similar tools (e.g., 'jules_create_and_wait').

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage through 'simplest way' and 'sensible defaults', suggesting it's for quick, default-driven task assignments. However, it lacks explicit guidance on when to use this versus alternatives like 'jules_create_session' or 'jules_create_and_wait', leaving the context somewhat implied rather than clearly defined.

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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