Skip to main content
Glama

get_podcast_latest

Get the latest episode for a specific podcast, including title, episode_id, transcript summary, episode artwork, α-sentiment (crypto markets), and traditional markets sentiment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
podcast_idYesPodcast ID from search_podcasts

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description carries the full transparency burden. It discloses the return payload (title, episode_id, summary, artwork, sentiment), which is useful. However, it does not mention behavior on invalid podcast_id, define what 'latest' means (e.g., publish date vs. addition date), or note that it is a read-only operation beyond the verb 'Get'.

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 a single sentence that leads with the action and resource, then enumerates the return fields. It is compact and all information contributes to understanding what the tool does. No redundant filler.

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?

Given the tool has only one parameter and no output schema, the description does a good job of listing the expected return fields. However, it leaves gaps by not defining 'latest' or explaining the sentiment format. This is slightly beyond the minimum viable for a simple getter.

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?

The schema description for podcast_id is already complete ('Podcast ID from search_podcasts'), and schema coverage is 100%. The tool description adds no further parameter semantics beyond what the schema already provides, so the baseline score of 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 clearly states the tool returns the latest episode for a specific podcast and lists the key returned fields including title, episode_id, sentiment, and artwork. This specific verb+resource combination distinguishes it from siblings like get_podcast_episodes, which lists all episodes. The tool's function is unambiguous.

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 implies usage when you need the most recent episode and its sentiment, but it does not explicitly contrast with alternatives such as get_podcast_latest_full or get_episode_details. There is no clear statement of when not to use this tool versus others.

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.

TDQS

A3.9/5.0
Disambiguation5/5

Every tool targets a distinct resource and data aspect: episode details, quotes, transcript, summary, market snapshots, ticker history, user feeds, etc. Even the 'full' composite variants are clearly described as one-call conveniences that bundle granular data, so there is no real ambiguity about which tool to use.

Naming Consistency5/5

All 23 tools follow a consistent 'get_<entity>_<detail>' pattern using lowercase snake_case. This uniformity makes the tool names predictable and mentally indexed, with no mixing of verb styles or naming conventions.

Tool Count3/5

With 23 tools, the server sits in the 'heavy' range (16–25) and feels a bit bloated. The breadth of resources justifies many endpoints, but several composite 'full' versions and overlapping history functions inflate the count and could be consolidated without losing capability.

Completeness4/5

The read-only surface covers core workflows well: episode-level detail, podcast discovery, market-wide snapshots/history/themes, ticker-specific data/leaderboards, and user personalization. Minor gaps include no way to enumerate all supported tickers or podcasts beyond search, and no direct episode list by date without going through the market endpoint.

Resources