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Crawlora MCP

apple_podcasts_show_related

Read-only

Apple Podcasts "You Might Also Like" related shows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
IDYesApple Podcasts numeric show ID (required), e.g. 173001861.
LimitYesMax related shows to return, default 20, max 50.
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

C2.5/5.0
Behavior2/5

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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=true), so the bar is lower, but the description adds almost nothing beyond them. Identifying 'You Might Also Like' as the source of recommendations is minor context; it says nothing about how relatedness is computed, result ordering, or behavior when a show has no related entries.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short fragment with no wasted words, but it is under-specified rather than genuinely concise. There is no leading verb phrase to anchor the sentence, so brevity comes at the cost of completeness.

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?

An output schema exists, so return-value explanation is not required, but for a three-parameter lookup tool the description still leaves the agent without any usage context or sibling differentiation. It is inadequate relative to the tool's role in a large family of related endpoints.

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 coverage is 100%, so ID, Country, and Limit are fully documented in the schema itself (numeric show ID, ISO-2 code, max/default limit). The description adds no parameter detail beyond what the schema already provides, making the baseline 3 correct.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (related Apple Podcasts shows) but does not state an explicit verb like 'retrieve' or 'list'. The quoted 'You Might Also Like' labels the specific Apple section, which adds modest specificity, but it largely restates the tool name and does not distinguish it from siblings such as apple_podcasts_show or apple_podcasts_show_episodes.

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?

There is no guidance on when to use this tool versus alternatives like apple_podcasts_search or apple_podcasts_charts. No prerequisites, no exclusions, no conditions are given. The agent must infer usage entirely from the name.

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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