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Crawlora MCP

apple_podcasts_episodes_search

Read-only

Returns normalized Apple Podcasts episode 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 episode 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

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety and open-world profile. The description adds only that results are 'normalized' and sourced from Apple's public iTunes Search API; it says nothing about pagination behavior, rate limits, or result ordering.

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 waste; it leads with the outcome and the data source. It is efficient, though it omits differentiation that would make the brevity fully effective.

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?

An output schema exists, so return values need not be explained, and the schema fully documents inputs. However, for a search tool sitting among several Apple Podcasts siblings, the description lacks the usage and routing context an agent needs to pick it correctly.

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 parameter-level meaning, 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?

States a specific verb and resource: returns Apple Podcasts episode results for a query. It is clear what the tool does, but it does not differentiate itself from siblings like apple_podcasts_search or apple_podcasts_show_episodes, leaving the agent to infer the distinction.

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 such as apple_podcasts_show_episodes or apple_podcasts_search. The agent gets no condition or routing hint for selecting this over a sibling.

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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