List podcast shows
list_showsLists the podcast shows published on brokeit.dev with language, feed and page URLs and episode counts.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_showsLists the podcast shows published on brokeit.dev with language, feed and page URLs and episode counts.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered elsewhere. The description adds value by disclosing the shape of the response content (per-show language, feed URL, page URL, episode counts), but says nothing about ordering, completeness, or whether all shows are returned.
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?
One front-loaded sentence with the verb and resource first and the returned fields trailing as supporting detail. No filler or redundancy.
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 zero-parameter, read-only list tool with no output schema, the description is nearly sufficient: it names the site and the per-show fields, which substitutes for a missing return schema. It could be stronger with a note on whether the list is exhaustive and how to proceed to episodes.
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 tool takes zero parameters, which is the baseline-4 case; there is nothing for the description to disambiguate. The listed fields describe output rather than inputs, which is harmless given an empty schema.
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?
States a concrete verb and resource ('Lists the podcast shows') and even enumerates the fields returned (language, feed and page URLs, episode counts). The resource 'shows' is distinguishable from sibling tools like list_episodes and get_episode, but the description never explicitly contrasts itself with them, so it falls short of a 5.
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?
Usage is only implied: an agent can infer this is the entry point for discovering shows before drilling into episodes. There is no explicit when-to-use statement, no mention of list_episodes/get_episode as follow-ups, and no exclusions.
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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