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Crawlora MCP

apple_podcasts_charts_rankings

Read-only

Apple Podcasts chart rankings by algorithm, type, and genre.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
TypeNoEntity type. Allowed values: podcasts, podcast-episodes, podcast-channels. Default podcasts.
ChartNoChart algorithm. Allowed values: top, top-subscriber, top-series. Default top.
GenreNoOptional Apple Podcasts genre id to filter the chart, e.g. 1303 for Comedy. 0 means all genres.
LimitNoMax chart entries to return, default 24, 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, so safety and scope are covered structurally. The description adds no behavioral context beyond the topic itself — nothing about default country/genre behavior, ranking freshness, or how results are ordered.

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 efficient sentence with no wasted words, and the resource is front-loaded. It is well-sized but perhaps too terse to carry routing information.

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 described, and annotations cover safety. But for a 5-parameter tool with an overlapping sibling (apple_podcasts_charts), the description leaves the agent without routing or scope guidance, so it is only minimally adequate.

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 the schema already fully documents Type, Chart, Genre, Limit, and Country. The description echoes 'algorithm, type, genre' but omits Limit and Country and adds no syntax or default detail, leaving it at the baseline for a well-documented schema.

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 clear resource (Apple Podcasts chart rankings) and the axes it varies along (algorithm, type, genre), so the agent knows it retrieves chart data rather than shows/episodes. However, it does not distinguish itself from the near-identical sibling apple_podcasts_charts or explain what 'rankings' adds over that tool.

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 phrase 'by algorithm, type, and genre' describes the parameter dimensions rather than when to invoke this tool versus apple_podcasts_charts or apple_podcasts_search. No when-to-use, no exclusions, no alternatives are given.

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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