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Crawlora MCP

letterboxd_film_reviews

Read-only

Letterboxd film popular reviews.

Input Schema

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

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

C2.4/5.0
Behavior3/5

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

Annotations declare readOnlyHint=true and openWorldHint=true, so the safety profile is already covered. The description adds essentially no behavioral detail beyond the annotations: it doesn't state whether reviews are paginated, how they are sorted, whether they include author metadata, or any rate-limit/auth nuances. With annotations carrying the safety burden, a 3 reflects an adequate but thin behavioral contribution.

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?

The description is extremely short (four words) and front-loaded, with no filler. However, this brevity is not a virtue when it leaves essential context unstated; it is under-specified rather than concisely complete. A minimal sentence earns a 3 rather than a 4 or 5.

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?

For a tool that requires both a film slug and a limit, and that returns an output schema, the description leaves the agent without any indication of usage context, sort order, or relationship to sibling endpoints. Annotations cover read-only status, and the output schema covers return shape, but the description itself does not complete the picture for selection and invocation.

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 are documented in the schema ('Letterboxd film slug, e.g. parasite-2019.' and 'Max reviews, default 10, max 50.'). The description adds nothing beyond the schema. Baseline 3 is correct when the schema already carries full parameter semantics.

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?

The description 'Letterboxd film popular reviews' is essentially a restatement of the tool name, echoing the pattern of a title rather than a full sentence. While 'reviews' and 'popular' hint at the resource, it is tautological and lacks a specific verb or scope that distinguishes it from sibling tools like letterboxd_film, letterboxd_popular, or letterboxd_member. An agent opens the schema to infer what is actually returned.

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 on when to use this tool versus alternatives. The sibling list contains several Letterboxd review-related endpoints (e.g., letterboxd_popular, letterboxd_film, letterboxd_member) but the description never says 'use this to retrieve reviews', nor does it distinguish popular reviews from other review sources. The only hint is the word 'popular', which is not sufficient.

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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