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.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the burden of behavioral disclosure. It only describes what is returned ('latest episode' with 'quotes and asset mentions') but does not state whether the operation is read-only, requires authentication, or how the response is structured, leaving key behavioral aspects implicit.
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 14-word sentence that front-loads the core purpose and includes relevant content details without any filler, earning the highest score for conciseness.
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?
The tool is simple (one parameter, no output schema), but the description leaves 'full details' vague and does not specify the response format or edge cases (e.g., no episodes). It covers the main intent but not enough for an agent to know exactly what to expect.
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 schema already fully documents the only parameter (podcast_id) with a helpful source reference ('from search_podcasts'), so the description adds little beyond reinforcing the podcast context. Baseline 3 is appropriate due to high schema coverage.
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 the verb 'Get' and the exact resource ('latest episode for a podcast') while adding detail granularity ('full details including quotes and asset mentions'), which distinguishes it from siblings like get_podcast_latest and get_episode_quotes.
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 description implies when to use this tool (when the full detail of the latest episode with quotes and asset mentions is needed) but does not explicitly contrast it with alternatives such as get_podcast_latest, so exclusions are absent.
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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