Skip to main content
Glama
zxhwolfe-dev

AI Workstation Open Source Intelligence MCP Server

get_radar_overview

Read-onlyIdempotent

Discover current rankings, collections, categories, scenarios, and filters for open-source AI projects, giving you a structured starting point for research.

Instructions

Discover current rankings, collections, categories, scenarios and filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoen
request_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the description does not need to repeat those. However, the description adds almost no extra behavioral context: 'current' weakly implies freshness, but there is no mention of what the overview contains beyond the listed nouns, whether it changes over time, or how it relates to the browse tools.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with a front-loaded action and object list. It avoids filler, though it sacrifices useful detail in favor of brevity.

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 is a read-only overview call with no required parameters and an output schema, so the description's resource list is minimally sufficient for invocation. It is not fully complete because it omits usage routing and parameter semantics, but the tool's low complexity reduces the severity of those gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, and the tool description does not mention either parameter. The locale enum and default are visible in the schema, but request_id's purpose is completely unexplained, and the description provides no compensating semantic guidance.

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 names a clear action ('Discover') and a concrete resource ('current rankings, collections, categories, scenarios and filters'), so an agent can tell what the tool returns. It does not explicitly differentiate from browse_radar_projects or browse_radar_skills, but the overview scope is reasonably distinct.

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

Usage Guidelines2/5

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

There is no guidance on when to call this tool versus siblings like search_ai_projects, browse_radar_projects, or browse_radar_skills. The word 'current' hints at an up-to-date overview, but no conditions, exclusions, or alternative routing are provided.

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/zxhwolfe-dev/aiworkstation-open-source-intelligence'

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