Skip to main content
Glama

karea_get_context

Retrieve the complete history and working memory of a task to understand what was tried, decided, and abandoned, enabling informed continuation without re-deriving past decisions.

Instructions

Read the task's Context — titled entries of AI working memory that hold the FULL HISTORY of a task (not just its current state): what was tried, decided, discovered, and abandoned along the way. ALWAYS read this first when picking a task up so you inherit the journey instead of re-deriving it. Each entry shows who/when/how (user or mcp) it was created and last edited. When you learn something new, ADD to the relevant entry with karea_set_context — do not overwrite the history. Distinct from notes (human-readable updates) and the markdown doc (long-form documentation).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesTask name, visual ID (C1, T2), or UUID
projectIdNoProject name or ID (needed for visual ID lookup)
Behavior5/5

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

No annotations provided, so description carries full burden. It discloses that entries show who/when/how created and edited, implies no destructive behavior, and warns against overwriting history.

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?

Efficiently structured with front-loaded purpose, usage guidance, and behavioral details. Every sentence adds value, no redundancy.

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?

No output schema, but description adequately hints at return content (entries with who/when/how). With good sibling context and usage guidelines, it is nearly complete. Minor gap: no explicit mention of return format or pagination.

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 covers both parameters with descriptions. Description does not add further parameter-specific details beyond what schema provides, so baseline 3 is appropriate.

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 it reads the task's Context, a working memory holding full history. It distinguishes from siblings like notes and markdown doc, making the purpose unambiguous.

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?

Explicitly advises to 'ALWAYS read this first when picking a task up' and provides guidance on when to use karea_set_context for additions, not overwrites. Also differentiates from notes and markdown doc.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/starecz/karea-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server