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Crawlora MCP

apple_podcasts_show_episodes

Read-only

Returns a normalized Apple Podcasts show and its public episodes by Apple show ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
IDYesApple Podcasts numeric show ID (required), e.g. 173001861.
LangYesOptional language code, e.g. en-US.
LimitYesMax episodes to return, default 50, max 200.
CountryYesISO-2 storefront country code, e.g. US. Default US.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds only that results are 'normalized' and limited to 'public' episodes, which hints at filtering but does not explain truncation behavior, pagination, or what happens when the ID is invalid or the storefront/language combination is unsupported.

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?

A single front-loaded sentence with the resource and the lookup key stated first; there is no filler. It is arguably too terse for a tool with four required parameters, but nothing is wasted.

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?

An output schema exists, so the return shape need not be explained, and the annotations cover the read-only/open-world nature. For a straightforward ID-based lookup the description is nearly sufficient; only sibling routing is missing.

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

Parameters3/5

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

Schema description coverage is 100%, so every parameter (ID, Country, Lang, Limit) is already documented with examples and defaults in the schema. The description adds no format, range, or default information beyond that, so the baseline 3 is appropriate.

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?

States a specific verb and resource ('Returns a normalized Apple Podcasts show and its public episodes by Apple show ID'), so the agent knows this is a detail-plus-children lookup. It does not, however, distinguish itself from the sibling apple_podcasts_show, which likely returns the same show record without episodes; that overlap is left for the agent to infer.

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 contains no when-to-use guidance, no prerequisites, and no mention of alternatives such as apple_podcasts_show, apple_podcasts_show_related, or apple_podcasts_episodes_search. The agent must guess from the name alone when this tool is preferred over those siblings.

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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