Like track
like_trackLike a track on SoundCloud by providing its track ID. Adds the track to your liked collection.
Instructions
Like a track
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| trackId | Yes |
like_trackLike a track on SoundCloud by providing its track ID. Adds the track to your liked collection.
Like a track
| Name | Required | Description | Default |
|---|---|---|---|
| trackId | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate a write operation (readOnlyHint false) with idempotency and potential unknown side effects (openWorldHint true). The description adds no behavioral context beyond these annotations, failing to describe the effect of liking a track or any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise (3 words), but this under-specification sacrifices essential information. It is not appropriately sized for the tool's complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple nature of the tool (one parameter, no output schema), the description should explicitly state the outcome (e.g., 'Add track to user's likes'). The current description omits this, leaving ambiguity about the tool's effect.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description provides no explanation for the 'trackId' parameter. The agent must infer its meaning solely from the parameter name and type, which is insufficient.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Like a track' specifies the verb and resource, making the core action clear. However, it does not distinguish from sibling tools like 'unlike_track', missing an opportunity to clarify its unique role.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided. The description does not indicate when to use this tool over alternatives, such as 'unlike_track' or 'get_likes', nor does it mention prerequisites like authentication.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/jamiew/soundcloud-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server