Skip to main content
Glama

context_get

Retrieve current project context in a token-efficient hierarchical view to understand core decisions, active work, and archived details at the start of a conversation.

Instructions

Get the current project context optimized for token efficiency. Returns a hierarchical view:

  • CORE: Critical decisions and patterns (always included, ~500 tokens)

  • ACTIVE: Current work context (included if relevant, ~2000 tokens)

  • ARCHIVE: Available via context_search for details

Use this at the start of conversations to understand the project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
include_activeNoInclude active context (default: true)
focus_categoriesNoFocus on specific categories
Behavior5/5

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

With no annotations, the description provides full behavioral disclosure: outlines the hierarchical CORE/ACTIVE/ARCHIVE structure, token sizes, inclusion criteria, and token-efficiency optimization, which goes beyond the schema and helps the agent understand expected 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 well-structured with bullet points and token counts, conveying necessary information in a compact format. Every sentence adds value, such as the usage directive and the hierarchy breakdown.

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

Completeness5/5

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

For a read tool with no output schema, the description sufficiently explains the returned structure and tells the agent how to access archived details via context_search. It is complete for typical use cases.

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%, with adequate descriptions for both parameters. The tool description adds no additional parameter meaning, so the baseline of 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 'Get the current project context' with a specific verb and resource, and differentiates from siblings by mentioning ARCHIVE is available via context_search. This distinguishes it from other context operations.

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 states 'Use this at the start of conversations to understand the project' and points to context_search for detailed archive retrieval, giving clear when-to-use and alternative guidance.

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/vshavlidze/context-mcp'

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