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get_task_context

Retrieve comprehensive development context for new tasks, including execution paths, tests, and entry points tailored to task type. Use as the initial step when starting any coding task.

Instructions

All-in-one context for starting a dev task: execution paths, tests, entry points, adapted by task type. Use as your FIRST call when beginning any new task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesNatural language description of the task
token_budgetNoMax tokens (default 8000)
focusNoContext strategy: minimal (fast, essential only), broad (default, wide net), deep (follow full execution chains)
include_testsNoInclude relevant test files (default true)
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the tool provides 'adapted by task type' context, which suggests some intelligent adaptation behavior. However, it doesn't describe response format, potential limitations, performance characteristics, or error conditions. For a tool with no annotation coverage, this leaves significant behavioral aspects unspecified.

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 perfectly concise - two sentences with zero waste. The first sentence establishes purpose and scope, the second provides clear usage guidance. Every word earns its place, and the most important information (when to use it) is front-loaded in the second sentence.

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?

For a tool with no annotations and no output schema, the description does well establishing purpose and usage guidelines. However, it doesn't describe what the output looks like or provide behavioral details about the adaptation mechanism. Given the tool's apparent complexity (providing 'all-in-one context' adapted by task type), more information about the nature and format of the returned context would be helpful.

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 already documents all four parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. It mentions the tool is 'adapted by task type' which relates to the 'task' parameter, but doesn't provide additional semantic context about how the task description influences the adaptation.

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 purpose with specific verbs and resources: 'All-in-one context for starting a dev task' specifies it provides comprehensive contextual information. It distinguishes from siblings by mentioning 'execution paths, tests, entry points, adapted by task type' - none of the sibling tools appear to offer this bundled starting context for development tasks.

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 usage guidance: 'Use as your FIRST call when beginning any new task.' This clearly indicates when to use this tool versus alternatives - it's the initial step for any new development task, distinguishing it from more specialized sibling tools that might be used later in the workflow.

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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