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letterboxd_film_reviews

Read-only

Fetch popular public Letterboxd reviews for a film, including review text and spoiler flags. Use letterboxd_film for film details; choose this endpoint when you need audience review content.

Input Schema

NameRequiredDescriptionDefault
slugYesLetterboxd film slug, e.g. parasite-2019.
limitYesMax reviews, default 10, max 50.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds scope ('popular public') and content shape ('review text and spoiler flags'), which is useful, but says nothing about pagination, rate limits, or ranking/selection of which reviews appear. With annotations carrying safety, a 3 is appropriate.

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, zero waste, with the primary capability front-loaded and the sibling routing appended. 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?

An output schema exists, so return values need not be explained, and annotations cover the read-only/open-world profile. The description covers what to fetch and when to prefer it, though it omits how many/which reviews are surfaced (popularity/ordering) — a minor gap for a low-complexity two-param tool.

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 both parameters (slug, limit) are documented in-schema with format and bounds. The description adds no syntax or format detail beyond the schema, so baseline 3 is correct.

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?

States a specific verb (Fetch) and resource (popular public Letterboxd reviews for a film) plus the return content (review text and spoiler flags). It names the sibling it is not (letterboxd_film), letting an agent distinguish the two without opening either schema.

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

Usage Guidelines5/5

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

Explicitly routes the agent: 'Use letterboxd_film for film details; choose this endpoint when you need audience review content.' This gives both the alternative and the selecting condition rather than leaving usage to inference.

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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