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List episodes

list_episodes
Read-only

List a season's episodes with air dates, air timestamps, and episode types (premiere | regular | finale | reunion).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
showYesSeason ID or slug, e.g. "12" or "love-island-usa-season-8". Use list_shows to discover.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

The readOnlyHint annotation already covers the safety profile, so the description doesn't need to repeat that. The description adds output-content detail but reveals no additional behavioral traits such as pagination, ordering, or response shape. This is adequate but not rich.

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?

A single sentence states the action, resource, and output fields, including the enum-like episode types. Every element earns its place and the most important information is front-loaded.

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

Completeness5/5

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

For a simple read-only list operation with one well-documented parameter, the description is complete: it states what is listed, what fields are returned, and the parameter schema explains how to identify the season. No output schema exists, but the description sufficiently covers the return values.

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

Parameters3/5

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

The input schema fully documents the single parameter with a clear description, examples, and a discovery pointer to list_shows. The tool description itself adds no parameter meaning beyond what the schema already provides, so the baseline of 3 applies.

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 uses a specific verb ('List'), names the resource ('a season's episodes'), and enumerates the output fields (air dates, air timestamps, episode types). This clearly distinguishes it from sibling tools like list_shows and get_show.

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

Usage Guidelines4/5

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

The intended use is clear from the description: list episodes for a known season. The parameter description adds a useful prerequisite and discovery hint ('Use list_shows to discover'), but the main description does not explicitly state when not to use this tool or compare it against alternatives.

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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