Fetch full metadata for one podcast in the PodLearn library, including its episode count. The podcast must already be in the local DB (source=local in search_podcasts results).
| Name | Required | Description | Default |
|---|---|---|---|
| podcast_id | Yes | Local podcast id |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds that it returns episode count and depends on local DB, which is useful beyond annotations.
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?
Two sentences, no wasted words. Action verb first, then additional constraint. Excellent front-loading.
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 tool with one parameter and no output schema, description covers purpose, prerequisite, and expected return envelope. Could be more specific about 'full metadata' but sufficient.
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?
Schema has 100% coverage with description 'Local podcast id', but tool description adds context that the id must correspond to a local DB entry, reinforcing the prerequisite.
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?
Clearly states it fetches full metadata for one podcast, including episode count, and distinguishes from search_podcasts by specifying the prerequisite of local DB. The verb 'Fetch' and resource 'full metadata' are specific.
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?
Provides explicit prerequisite: podcast must be in local DB from search_podcasts. This guides when to use. No explicit when-not-to-use, but context is clear.
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.
Tools are largely distinct, covering separate actions (search, get, list, generate, transcribe, save). The main potential confusion is between list_episodes and list_feed_episodes, but descriptions clearly separate local from external.
All tools follow consistent verb_noun snake_case patterns (get_, list_, search_, generate_, transcribe_, save/remove), with no mixed conventions or unexpected styles.
25 tools is at the high end for a server of this scope. The broad domain justifies many functions, but the count feels heavy and some tools could be consolidated without losing clarity.
Discovery, ingestion, transcription, lesson generation, and user account management are all well covered. Minor gaps exist, such as no way to delete or update lessons beyond save/remove.