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list_episodes

Retrieve episodes for a specific show with optional filters by title, status, or pagination. Use sparse fieldsets to request only needed attributes.

Instructions

List episodes for a specific show. Use 'fields' to request only specific attributes and reduce response size (e.g. {"episode": ["title", "number", "status", "season"]}). Use 'query' to search by title.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
perNoItems per page (default 10, max 100)
pageNoPage number for pagination
orderNoSort order: 'desc' (newest first, default) or 'asc' (oldest first)
queryNoSearch episodes by title
fieldsNoSparse fieldsets to reduce response size. Keys are resource types (e.g. 'episode'), values are arrays of field names (e.g. ['title', 'number', 'status', 'season', 'transcript_url'])
statusNoFilter episodes by status
show_idYesID of the show to list episodes for
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description does not disclose behavioral traits such as being read-only, potential side effects, authentication requirements, or rate limits. It only implies a read operation by saying 'list', which is insufficient for full transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is highly concise with two sentences, front-loading the core purpose. Every word adds value, with no redundant or extraneous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 7 parameters and no output schema, the description is minimal. It explains how to use 'fields' and 'query' but does not cover pagination behavior, default values, or the structure of the response. This leaves gaps for an AI agent to fully understand the tool's behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description adds value by providing an example of how to use the 'fields' parameter to reduce response size, which clarifies usage beyond the schema description. This justifies a score above baseline 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'List episodes for a specific show' with a specific verb and resource. It distinguishes itself from sibling tools like get_episode, create_episode, etc., by focusing on listing multiple episodes scoped to a show.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides tips on using 'fields' and 'query' parameters but does not explicitly state when to use this tool versus alternatives (e.g., get_episode for a single episode) or when not to use it. The context is implied but lacks explicit guidance.

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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