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pause_playback

Pause Spotify playback to temporarily stop music or podcasts. This tool halts audio streaming when you need to focus or take a break.

Instructions

FastMCP tool to pause playback on spotify.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • Core implementation of pause_playback in SpotifyClient class, calling spotipy.Spotify.pause_playback() to pause Spotify playback.
    async def pause_playback(self) -> str:
        """
        Pause playback on the specified device.
        """
        try:
            self.sp.pause_playback()
            return "Playback paused successfully"
        except Exception as e:
            return f"Error pausing playback: {str(e)}"
  • main.py:24-29 (registration)
    FastMCP tool registration decorator and wrapper function for pause_playback, delegating to SpotifyClient instance.
    @mcp.tool()
    async def pause_playback() -> str:
        """
        FastMCP tool to pause playback on spotify.
        """
        return await client.pause_playback()
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'pause playback' implies a mutation operation, it doesn't specify whether this requires authentication, what happens if no playback is active, or if there are rate limits. This leaves significant behavioral gaps for a tool that likely modifies state.

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 extremely concise with just one sentence that directly states the tool's purpose. While efficient, it could be slightly improved by front-loading more context about when to use it, but it contains no unnecessary information.

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

Completeness2/5

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

For a mutation tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what happens after pausing (e.g., state changes, error conditions), nor does it provide context about prerequisites or behavioral constraints that would help an agent use it correctly.

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?

The tool has zero parameters with 100% schema description coverage, so the schema already fully documents the parameter situation. The description appropriately doesn't waste space discussing parameters, earning a baseline score of 4 for this dimension.

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 clearly states the action ('pause playback') and resource ('on spotify'), making the purpose immediately understandable. However, it doesn't differentiate this tool from other playback control siblings like 'start_playback', 'next_track', or 'previous_track', which prevents a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives like 'start_playback' or 'get_playback_state'. It doesn't mention prerequisites (e.g., requires active playback) or exclusions, leaving the agent to infer usage context from the tool name alone.

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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