Skip to main content
Glama

spaces

Download or record Twitter/X live audio. Use a URL to start, recording ID to check status, or stop a live recording.

Instructions

Download or live-record a Twitter/X Space. Three modes: (1) Pass url to start a download (returns recording_id), (2) Pass recording_id to check status, (3) Pass recording_id + stop=true to stop a live recording.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoTwitter/X Space URL to download (e.g., https://x.com/i/spaces/1yNxaNvaMYQKj). Starts download in background.
stopNoStop a live recording. Requires recording_id. Default: false
output_dirNoDirectory to save the audio file. Default: ~/Downloads
recording_idNoCheck status of a previous download, or stop it when combined with stop=true.
Behavior3/5

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

With no annotations, the description carries the burden of disclosing behavior. It mentions that downloads return a recording_id, that status can be checked, and that live recordings can be stopped. However, it lacks details on authentication requirements, side effects like file persistence, or any non-obvious operational constraints.

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 concise and well-structured. It leads with the core purpose, then enumerates the three modes in a clear numbered list. Every sentence provides essential information without 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?

The tool has three distinct modes and four parameters, and the description covers the primary scenarios comprehensively. It does not detail the output format for status checks or error conditions, but the absence of an output schema and the clarity of the modes make this acceptable.

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

Parameters4/5

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

Although the input schema already describes each parameter well (100% coverage), the description adds semantic connections by explaining the three modes: how url initiates a download, how recording_id serves for status/stop, and how stop modifies behavior. This goes beyond the schema's individual descriptions.

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: 'Download or live-record a Twitter/X Space.' It uses specific verbs and a specific resource, and outlines three distinct usage modes, which distinguishes it from sibling tools like download_audio or transcribe_audio.

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 context for when to use each mode: pass url to start a download, pass recording_id to check status, and pass recording_id with stop=true to stop a live recording. However, it does not explicitly compare with alternative tools or mention when not to use it.

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/AugentDevs/augent'

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