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Crawlora MCP

Crawlora MCP

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imdb_title_awards

Fetch awards IMDb lists for a title by passing its ID or URL. Returns event, year, category, win or nomination, recipients, notes, and total count.

Instructions

IMDb title awards. Returns the awards IMDb lists for a title. Pass exactly one of id or url. Each row has the event, year, category, win or nomination result, award name, recipients and notes. total is the number IMDb lists and has_more is true when only part is returned.

Input Schema

NameRequiredDescriptionDefault
idNoIMDb title id
urlNoAbsolute https://www.imdb.com/title/<id>/ URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.1.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden, and it does disclose meaningful behavior: the exact row shape (event, year, category, win/nomination, award name, recipients, notes) and pagination semantics via `total` and `has_more`. It omits auth/rate-limit context, which keeps it from a 5 for an unannotated tool.

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?

Four short sentences, front-loaded with purpose, then the input constraint, then the return fields, then pagination. No filler and each sentence adds distinct information.

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

Completeness5/5

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

There is no output schema, so the description must explain returns – and it does, listing row fields plus total/has_more pagination, alongside the input-selection rule. Nothing an agent needs to call this correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds a real constraint the schema does not encode: 'Pass exactly one of `id` or `url`.' Both params are optional in the schema with no oneOf, so this mutual-exclusion rule is genuinely new information.

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 ('Returns the awards IMDb lists for a title'), which cleanly separates it from the person-oriented sibling imdb_name_awards. It does not name any sibling explicitly, so it stops short of a 5.

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

Usage Guidelines3/5

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

Usage is only implied by the phrase 'for a title' – the agent can infer this is the right tool for a title's awards, but there is no explicit when-to-use/when-not guidance and no named alternative such as imdb_name_awards or imdb_title.

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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