search_podcasts
Search for crypto podcasts by name. Returns podcast ID, name, artist, language, x-handle, and artwork.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | Podcast name search query e.g. unchained, bankless, chopping block |
Search for crypto podcasts by name. Returns podcast ID, name, artist, language, x-handle, and artwork.
| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | Podcast name search query e.g. unchained, bankless, chopping block |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the output fields (podcast ID, name, artist, language, x-handle, artwork), which is useful. However, it does not describe key behavioral traits such as whether the search is case-insensitive, supports partial matches, returns multiple results, or has pagination or rate limits. This leaves gaps but does not mislead.
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 front-loads the core action and then lists return fields. Every word earns its place with no redundancy or unnecessary detail.
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 description is reasonably complete for a simple search tool: it states the domain (crypto podcasts), the matrix (name), and the return fields. It lacks mention of result count limits or how to use the returned podcast IDs with sibling tools, but given the simplicity and good schema coverage, it suffices.
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 coverage is 100%: the q parameter is described with examples (e.g., 'unchained, bankless, chopping block'). The tool description adds little beyond the schema, only noting the search is by name, which is already implied. Baseline 3 applies since the schema fully documents the parameter.
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 'Search for crypto podcasts by name' with a specific verb and resource, and lists the return fields (podcast ID, name, artist, language, x-handle, artwork). This distinguishes it from sibling tools, which are all 'get_' tools for episodes, market data, or favorites, making the search functionality unmistakable.
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 usage: use this when you need to find a podcast by name, likely to obtain a podcast ID for subsequent calls. However, it does not explicitly state when to use this tool vs alternatives, nor does it mention any exclusions or prerequisites. There is no guidance on preferring get_my_favorite_podcasts for saved podcasts or get_podcast_episodes if the ID is already known.
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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