get_podcast_latest_full
Get the latest episode for a podcast with full details including quotes and asset mentions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| podcast_id | Yes | Podcast ID from search_podcasts |
Get the latest episode for a podcast with full details including quotes and asset mentions.
| Name | Required | Description | Default |
|---|---|---|---|
| podcast_id | Yes | Podcast ID from search_podcasts |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of behavioral disclosure. It adds value by revealing that the response includes quotes and asset mentions, which goes beyond the tool name. However, it does not clarify read-only status, error behavior, or other potential side effects, leaving some ambiguity.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that is front-loaded with the action and scope. There is no redundant information or filler, making it highly concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter read tool, the description adequately states what it does and highlights key output components (quotes, asset mentions). However, without an output schema, it could be more explicit about the full return structure or edge cases, though it remains mostly complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema fully describes the only parameter (podcast_id) with a reference to search_podcasts, achieving 100% schema coverage. The description adds no additional parameter meaning 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.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states a specific verb ('Get'), resource ('latest episode for a podcast'), and scope ('full details including quotes and asset mentions'). This distinguishes it from siblings like get_podcast_latest (which likely lacks full details) and get_episode_full (which targets a specific episode rather than the latest).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'latest episode' and 'full details' provide clear context for when to use this tool, but it does not explicitly name alternatives or when-not-to-use conditions. The guidance is clear but not exhaustive.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.