Fetch one crawled Apple Podcasts show record by numeric show ID from the apple-podcasts-shows dataset for podcast lookup.
Get an Apple Podcasts show from dataset. Returns one crawled Apple Podcasts show record by id from dataset id enum value apple-podcasts-shows.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Apple Podcasts numeric show id (e.g. 173001861) |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the disclosure burden. It conveys read-only behavior via 'Get' and 'Returns one', and adds useful context that the record is 'crawled' and tied to the dataset enum `apple-podcasts-shows`. It does not discuss error behavior or data staleness in depth, but for a simple by-id retrieval this is sufficient.
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 two short sentences, front-loaded with the action and source, with no redundant details. Every clause earns its place.
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?
The tool is very simple: one required parameter, no output schema, and no nested objects. The description names the dataset enum, the record type, and the retrieval key, which is enough for an agent to invoke it correctly. It could optionally mention return fields, but that is not strictly necessary given the simplicity.
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 coverage is 100%, and the `id` parameter already has a clear type description with an example: 'Apple Podcasts numeric show id (e.g. 173001861)'. The description only reiterates lookup 'by id' and adds no meaningful parameter semantics beyond what the schema already provides, so the baseline of 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?
The description uses the specific verb 'Get' with the resource 'Apple Podcasts show' and explains it returns one crawled record by id from the dataset enum `apple-podcasts-shows`. This clearly distinguishes it from siblings like `datasets_apple_podcasts_shows_search` or `apple_podcasts_show`.
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?
It clearly implies when to use: when you already have an Apple Podcasts show id and need the crawled dataset record ('Returns one... by id'). However, it does not explicitly name alternatives such as search tools for finding ids, so it lacks an explicit when-not-to-use statement.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.