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Crawlora MCP

letterboxd_film

Read-only

Letterboxd film detail.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesLetterboxd film slug, e.g. parasite-2019.

Output Schema

TableJSON 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

C2.3/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety and open-web profile is covered by structured data. The description adds nothing beyond that: no indication of what the "detail" payload contains, whether the slug must be exact, or how missing films behave.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

At three words it is certainly terse and front-loaded, but this is under-specification rather than disciplined conciseness; nothing beyond the name is communicated.

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

Completeness2/5

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 described. However, for a lookup tool whose name is the only guidance, the description should at least signal that it returns full film metadata for a single film, which it does not.

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% — the single slug parameter is fully documented with an example ('parasite-2019') — so baseline 3 applies. The description adds no extra semantics about slug format or resolution.

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

Purpose2/5

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

"Letterboxd film detail" effectively restates the tool name (letterboxd_film) plus the word "detail"; it supplies no verb and no scope. It also does nothing to separate a film lookup from the many sibling film-scoped tools (letterboxd_film_reviews, letterboxd_film_similar, letterboxd_film_rating_histogram).

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?

There is no when-to-use guidance and no named alternative. An agent must infer from the name alone whether to call this versus letterboxd_search to resolve a slug first, or the per-film review/similar tools.

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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