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Crawlora MCP

apple_podcasts_search

Read-only

Returns normalized Apple Podcasts show results for a query using Apple's public iTunes Search API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
LangNoOptional language code, e.g. en-US.
PageNoResult page number, default 1.
TermYesApple Podcasts show search keyword (required).
LimitNoMax results to return, default 50, max 200.
CountryNoISO-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 and open-world profile is covered. The description adds that results are 'normalized' and come from Apple's public iTunes Search API, which is modest but real context about behavior and provenance; it does not discuss result caps or reliability beyond what the schema states.

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 no filler; the resource and source are stated immediately. It is efficient, though it spends words on the API provenance rather than routing information an agent would find more actionable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present and 100% parameter coverage, the description need not explain return values or arguments. What is missing is the routing context against its many sibling search tools, which is the main gap for a 'minimum viable' search definition with annotations already covering safety.

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 all five parameters (Term, Lang, Page, Limit, Country) are already documented in the schema. The description adds no format, default, or constraint details beyond what the schema 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.

Purpose4/5

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

The description states a specific verb and resource ('returns ... Apple Podcasts show results for a query') and names the upstream data source (iTunes Search API). It is clear enough to distinguish a show search from a generic search, but it does not explicitly differentiate itself from close siblings like apple_podcasts_episodes_search or apple_podcasts_new.

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 when-to-use guidance and no alternative named. An agent must infer from the tool name that this searches shows rather than episodes, charts, or new releases; nothing in the text routes it among the many apple_podcasts_* 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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