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conorbronsdon

Podcast Index MCP Server

trending_podcasts

Read-only

Retrieve trending podcasts filtered by language, category, or time. Supports competitive analysis and content planning.

Instructions

Get trending podcasts with optional filters for language and category. Useful for competitive intelligence and content planning.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
catNoCategory filter — name or ID (e.g. "Technology", "102")
maxNoMaximum results (default 10)
langNoLanguage code filter (e.g. "en")
sinceNoOnly return podcasts trending since this Unix timestamp
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the description does not need to restate that. However, it does not add behavioral details such as pagination behavior, rate limits, or what happens when filters are combined. With annotations covering the safety profile, a score of 3 is appropriate.

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

Conciseness5/5

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

The description is two concise sentences, front-loading the purpose and adding use case context. Every word earns its place; no verbosity or redundancy.

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?

For a simple read-only listing tool with 4 optional parameters and no output schema, the description is sufficiently complete. It covers purpose, filters, and intended use. Minor improvement could mention that output is a list of podcasts (implicitly understood).

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 documents all parameters. The description repeats 'optional filters for language and category' but adds no new semantics beyond what the schema provides. Baseline score of 3 applies.

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?

Description clearly states the verb 'Get' and resource 'trending podcasts', includes optional filters for language and category, and provides use case context ('competitive intelligence and content planning'). This distinguishes it from sibling tools like search_by_term or categories_list.

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?

The description mentions usefulness for competitive intelligence and content planning but lacks explicit guidance on when to use this tool vs alternatives like search_by_term or episodes_by_feed_id. No when-not-to-use or prerequisite information is provided.

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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