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karea_get_markdown

Retrieve the markdown document attached to a task to review investigation findings, technical documentation, and implementation notes.

Instructions

Read the markdown document attached to a task. This is the task's knowledge base — it contains investigation findings, technical and functional documentation, root cause analysis, solution design, implementation notes, and any other long-form content the task has accumulated. Always read this before working on a task to avoid duplicating past research.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesTask name, visual ID (C1, T2), or UUID
projectIdNoProject name or ID (needed for visual ID lookup)
Behavior4/5

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

With no annotations, the description carries the full burden. It clearly indicates a read-only operation (reading markdown) and implies no destructive side effects. It does not detail authentication or rate limits, but for a simple read tool, the transparency is adequate.

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 with no filler. The first sentence states the primary action, and the second provides valuable context and usage advice. It is concise and front-loaded.

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 tool has no output schema, yet the description does not explain the return format (e.g., markdown content as string). It covers the tool's purpose and usage well but lacks completeness regarding what the agent receives. For a simple read tool, this is a moderate gap.

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 both parameters. The description does not add additional meaning or syntax details beyond what the schema provides, resulting in a baseline score of 3.

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 specifically states the tool reads the markdown document attached to a task, detailing its contents (investigation findings, documentation, etc.). It distinguishes itself from sibling tools by focusing on the task's knowledge base and advising to read it before working, which clarifies its purpose.

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 description provides clear guidance to 'Always read this before working on a task to avoid duplicating past research.' While it doesn't explicitly mention when not to use it or alternatives, the strong recommendation gives clear usage context.

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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