get_all_playlists
Get all playlists for given workspace
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| collection_id | Yes | Workspace ID |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get all playlists for given workspace
| Name | Required | Description | Default |
|---|---|---|---|
| collection_id | Yes | Workspace ID |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / requiredPrevious value: -[]New value: +[
+ "collection_id"
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered without the description. The description adds only the 'all' qualifier, with no mention of result-set size, pagination, or ordering — modest added value over the annotations.
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?
A single front-loaded sentence with no filler, appropriately sized for a trivial one-parameter read. It is terse to the point of lacking any qualifying clause, but nothing is wasted.
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?
For a simple scoped read with full annotation coverage, a fully documented single parameter, and an output schema, the description supplies the essential scope. Only absent details are pagination/ordering behavior, which are secondary given the structured fields available.
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?
With one parameter and 100% schema description coverage, the schema already explains collection_id as 'Workspace ID'. The description's phrase 'given workspace' reinforces but does not add semantics beyond that, so the baseline 3 applies.
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?
States a specific verb and resource ('Get all playlists') plus a scope ('for given workspace'), which is clearly distinct from sibling mutations like create_playlist/delete_playlist and from get_playlist_assets. It does not explicitly name those siblings, so differentiation is left partly to naming inference.
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?
Usage is implied by the scope phrase 'for given workspace' — the agent can infer it lists playlists in one workspace. However, there is no explicit when-to-use, no statement of when a different tool applies (get_playlist_assets, list_workspaces), and no prerequisites or pagination caveats.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.