Skip to main content
Glama

Podcast search across the Apple Podcasts directory: podcast

dev_podchaser
Read-only

Podcast search across the Apple Podcasts directory (iTunes Search API): podcast title, publisher, episode count, genres, latest episode date, explicit flag, RSS feed URL, artwork and Apple Podcasts link, for a search term and optional country store. Related tools on this server, for a different need: dev_bundlephobia when you need npm package bundle size from Bundlephobia's public size; dev_covers when you need sportsbook odds from Covers.com odds screens: every listed. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "q": "<q>"
    },
    "name": "dev_podchaser"
  }
}

Input Schema

NameRequiredDescriptionDefault
qYesPodcast search term, 1 to 100 characters
limitNoHow many podcasts, 1 to 20 (default 5)
countryNo2-letter Apple store country, e.g. us, gb, de (default us)

Output Schema

NameRequiredDescriptionDefault
countNo
queryNo
sourceNo
countryNo
podcastsNo
checkedAtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered; the description adds genuinely non-obvious behavior — the upstream provider (iTunes Search API), the data source scope (Apple Podcasts directory), and the payment model ($0.002 USDC per successful call via x402 on Base/Solana/Arc, failures not charged). That billing and failure-charging detail is exactly the kind of context annotations cannot convey. It stops short of rate limits, latency, or result-size behavior.

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

Conciseness2/5

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

The core content is a single long run-on sentence that front-loads a nine-item field list, followed by sibling-tool boilerplate that is irrelevant to a podcast search and ends in a dangling fragment ('every listed.'). The entire sibling sentence should be cut or reduced to one clause; the pricing sentence is the only other part that earns its place.

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?

With a full output schema present, return values need not be explained, and read-only safety is covered by annotations; the description supplies sourcing and cost, which are the remaining decision-relevant facts. It is nearly complete, missing only failure modes (e.g., empty results, country store validity) and any note on result ordering or pagination.

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 three parameters are already documented with types, ranges, and defaults. The description only restates the search term and country store at a high level and never mentions 'limit', adding no syntax, format, or edge-case meaning beyond the schema. Baseline 3 is appropriate.

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

Purpose5/5

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

The description states a specific verb and resource — podcast search across the Apple Podcasts directory via the iTunes Search API — and enumerates the exact fields returned (title, publisher, episode count, genres, latest episode date, explicit flag, RSS URL, artwork, link). It also explicitly separates this tool from two named siblings with different domains ('for a different need'). An agent can identify the tool's function without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides a usage frame ('for a search term and optional country store') and points to alternative tools, but the alternatives named (dev_bundlephobia, dev_covers) are for unrelated domains, so the routing advice does not help an agent choose between comparable options. There is no guidance on when not to use it, whether it searches episodes or only shows, or what happens with zero matches.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources