Listar séries de podcast
list_podcast_seriesLista todas as séries de podcast da ER+ com contagem de episódios, host e links externos (Spotify, YouTube, Apple Podcasts).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_podcast_seriesLista todas as séries de podcast da ER+ com contagem de episódios, host e links externos (Spotify, YouTube, Apple Podcasts).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It does not disclose behavioral traits like authentication needs, rate limits, or whether pagination is supported. Only states the basic output but not how the tool behaves.
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?
Single sentence, front-loaded with the verb and resource. No wasted words. Every word adds value.
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?
Given no parameters, no output schema, and no annotations, the description is minimal. It tells what is listed but lacks details on ordering, result format, or how to use the output. Adequate for a simple list but has gaps.
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?
There are zero parameters. According to the baseline rule, score is 4. The description does not need to add parameter semantics, and it correctly omits any param details.
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?
Description clearly states the verb 'Lista' (lists) and resource 'séries de podcast' (podcast series), specifies the source 'da ER+' and the returned data (episode count, host, external links). This distinguishes it from sibling tools like list_podcast_episodes which list episodes.
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?
No guidance on when to use this tool versus alternatives such as list_podcast_episodes or get_podcast_episode. The description does not mention any exclusions or preferred use cases.
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.
Each tool has a clearly distinct purpose: course availability vs upcoming classes, detailed vs summary listings, separate tools for blog, podcast, services, teachers, radio, school info, and cross-content search. No overlapping tool descriptions.
Most tools follow a verb_noun pattern (list_, get_, check_), but 'radio_now_playing' and 'school_info' deviate slightly, and 'search' is a single verb. Nonetheless, the naming is mostly consistent and predictable.
15 tools is well-scoped for a school information server covering courses, blog, podcast, radio, services, teachers, and institutional info. Each tool serves a necessary function without redundancy.
The tool surface provides comprehensive coverage for informational queries about the school: all major content types (courses, blog, podcast, radio) have list/detail tools, real-time availability, search, and institutional info. No obvious gaps for a read-only knowledge server.