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letterboxd_popular

Read-only

Fetch Letterboxd's popularity-ranked film chart. Use letterboxd_search to find a specific title, letterboxd_film_similar for related films, or letterboxd_member for a person's profile.

Input Schema

NameRequiredDescriptionDefault
genreNoOptional genre slug filter, e.g. mystery.
limitNoMax films, default 10, max 50.
decadeNoOptional decade filter, e.g. 2010s.
periodNoPopularity window: day, week, month, year, or omit for all-time.

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

A4/5.0
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/scope profile is covered. The description adds the 'popularity-ranked chart' framing, which tells the agent what kind of data comes back, but says nothing about pagination, ranking window semantics, or result freshness. With annotations carrying the behavioral load, 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 core purpose front-loaded before the sibling routing. Every clause 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 and annotations cover safety, so the description needn't explain return values. It is complete enough for correct invocation, with only minor gaps (e.g., what the ranking is based on, how the filters combine).

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 all four parameters (genre, limit, decade, period) are documented in the schema itself. The description adds no syntax, format, or interaction detail 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?

States a specific verb ('Fetch') and resource ('Letterboxd's popularity-ranked film chart'), which is well-scoped. The second sentence names the sibling tools it is not, so an agent can distinguish it from search/film_similar/member without opening any schema.

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?

Explicitly routes to alternatives: letterboxd_search for a specific title, letterboxd_film_similar for related films, letterboxd_member for a person's profile. This gives clear context for when NOT to use this tool, though it doesn't state the positive condition (e.g., 'use when browsing popular/top films') in so many words.

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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