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metacritic_tv_user_reviews

Fetch paginated user reviews for a Metacritic TV show by slug, including author, score, quote, date, helpfulness, and spoiler flag.

Instructions

List a Metacritic TV show's user reviews. Returns paginated user reviews for a TV show: author, score (0-10), quote, date, helpfulness, and spoiler flag. Credential-free public Metacritic data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number (default 1)
slugYesMetacritic TV show slug
sortNoSort order
per_pageNoResults per page (default 20, max 50)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.17.5
    • addedInput schema / properties / sort / enum
      Added value: +[
      +  "date",
      +  "score",
      +  "helpful"
      +]
  2. Addedv1.5.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden and does add some value: it discloses pagination behavior, that the data is public, and that no credentials are required. However, it omits rate limits, error behavior for invalid slugs, and whether the spoiler flag affects output, so transparency 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?

Two sentences with no filler: the first states the action, the second lists return fields and access characteristics. Purpose is front-loaded and every sentence earns its place.

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

Completeness4/5

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

Since there is no output schema, the description's field enumeration (author, score, quote, date, helpfulness, spoiler flag) fills that gap well. Combined with the fully documented schema, an agent has enough to call the tool correctly; only minor gaps like where to obtain a slug remain.

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 description coverage is 100%, so the schema already documents page, slug, sort, and per_page. The description mentions pagination but adds no parameter-level semantics beyond what the schema provides, so it earns the baseline 3 rather than more.

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

Purpose4/5

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

The description states a specific verb and resource ('List a Metacritic TV show's user reviews') and enumerates the returned fields. It does not explicitly name sibling alternatives like metacritic_tv_critic_reviews or metacritic_movie_user_reviews, though the term 'user reviews' and the tool name imply the distinction.

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

Usage Guidelines2/5

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

No guidance is provided on when to choose this tool over metacritic_tv_critic_reviews, metacritic_movie_user_reviews, or metacritic_game_user_reviews. There is no statement of exclusions or conditions that would help an agent route between critic and user reviews.

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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