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navidmoazzez

Podcast Index MCP

by navidmoazzez

Podcast Index size and activity

get_index_stats
Read-onlyIdempotent

Get podcast index stats: total feeds, episodes, feeds updated in 3/10/30/90 days, and value block feeds. Compare total vs 30-day active feeds to gauge real podcasting activity.

Instructions

How big the index is and how much of it is alive: total feeds, total episodes, how many feeds published in the last 3, 10, 30 and 90 days, and how many carry a value block. The activity numbers are the interesting part, because the gap between total feeds and feeds active in 30 days is the honest measure of how much of podcasting is still running.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare this as read-only, idempotent, and non-destructive. The description adds meaningful behavioral context beyond that, such as the interpretation of the gap between total feeds and feeds active in 30 days, and that value-block counts are included. No contradiction with annotations.

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 short, front-loaded with the core purpose, and every sentence earns its place. The first sentence enumerates the concrete metrics, and the second adds a useful interpretive lens without padding.

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

Completeness5/5

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

For a simple, parameterless, read-only stats tool with no output schema, the description is complete enough: it enumerates all key data points returned and explains what the activity numbers mean. An agent can decide when to call it and what to expect from the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and schema coverage is 100%, so there is no parameter burden for the description to carry. The description instead focuses on the returned metrics, which is appropriate for a parameterless endpoint.

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 clearly states what the tool reports: index size and activity with specific metrics like total feeds, total episodes, and recency buckets. This is distinguishable from sibling tools by content, though it does not explicitly name an alternative or contrast itself with the 'status' sibling.

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 intended use is implied: call this when you need a picture of index size and how many feeds are currently active. However, it gives no explicit when-to-use or when-not-to-use guidance, nor does it name any alternative among the many sibling tools.

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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