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rotten-tomatoes.tv_show_cast_and_crew

List cast and crew credits for a TV series by slug (for example breaking-bad).

Returns cast and crew members with names, roles, character names, and profile links where available.

Cost = 5 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tv_show_slugYesTV series slug (for example breaking-bad).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
castNoCast and crew credits for the series.
slugNoTV series slug.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the transparency burden. It discloses what is returned (cast/crew names, roles, character names, profile links) and even notes the token cost. It does not mention rate limits, errors, or read-only status, but for a simple list operation this is adequate.

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?

Three concise sentences, each adding value: purpose, return contents, and cost. Front-loaded with the main action and no redundant phrasing.

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 one-parameter tool with an output schema, the description fully covers purpose, usage, return contents, and cost. It is self-sufficient and doesn't require additional context.

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?

Schema coverage is 100% and the schema already explains 'tv_show_slug' with the same example (breaking-bad). The description adds no new parameter semantics beyond what the schema provides, so baseline 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 precisely states the action: 'List cast and crew credits for a TV series by slug'. It names the specific resource (TV series cast and crew) and distinguishes from sibling tools like movie_cast_and_crew by explicitly limiting to TV series.

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 description gives clear context: use this for TV series cast/crew by providing a slug. It doesn't explicitly mention alternatives or exclusions, but the TV-series qualifier makes the intended use evident. No 'when not to use' is stated, so not a 5.

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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