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Crawlora MCP

datasets_youtube_creators_search

Read-only

Search the YouTube creators dataset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoOptional full-text query over channel_name and bio, max 256 characters.
pageNoResult page number, 1-based, default 1; page times page_size must not exceed 10000.
sortNoOptional sort order. Allowed values: relevance, followers_desc, followers_asc, views_desc, videos_desc, hydrated_at_desc, hydrated_at_asc. Defaults to relevance with q, otherwise followers_desc.
regionNoOptional exact channel region/country filter (case-insensitive), max 128 characters.
has_bioNoOptional filter for channels with a non-empty About bio.
has_linksNoOptional filter for channels with at least one linked external URL.
max_viewsNoOptional maximum total view count, 0 or greater.
min_viewsNoOptional minimum total view count, 0 or greater.
page_sizeNoPage size, default 20, max 100; page times page_size must not exceed 10000.
channel_idNoOptional exact channel id filter (e.g. UCxxxxxxxxxxxxxxxxxxxxxxxx), max 128 characters.
max_videosNoOptional maximum uploaded-video count, 0 or greater.
min_videosNoOptional minimum uploaded-video count, 0 or greater.
joined_afterNoOptional filter for channels created on or after this date (RFC3339 or YYYY-MM-DD).
joined_beforeNoOptional filter for channels created on or before this date (RFC3339 or YYYY-MM-DD).
max_followersNoOptional maximum subscriber count, 0 or greater.
min_followersNoOptional minimum subscriber count, 0 or greater.
hydrated_afterNoOptional filter for records last refreshed on or after this date (RFC3339 or YYYY-MM-DD).
hydrated_beforeNoOptional filter for records last refreshed on or before this date (RFC3339 or YYYY-MM-DD).
discovery_sourceNoOptional exact filter for how the channel was discovered (e.g. commoncrawl, wikidata), max 128 characters.
views_count_availableNoOptional filter for channels with a known total view count.
videos_count_availableNoOptional filter for channels with a known uploaded-video count.
followers_count_availableNoOptional filter for channels that expose a public subscriber count (some channels hide it).

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

C2.6/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered, but the description adds nothing on top: no mention of pagination limits (the 10000 page*page_size cap in the schema), result caps, or data freshness/hydration semantics. With annotations carrying the safety profile, this description contributes no additional behavioral context.

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

Conciseness4/5

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

A single short sentence with no padding and the resource stated immediately. It is efficient, though the brevity reflects under-specification rather than disciplined trimming.

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 22-parameter dataset search with a facets sibling and an item sibling, one bare sentence is not enough. The output schema excuses it from explaining return values, but nothing explains dataset coverage, record shape, the relationship to facets/item, or the practical limits an agent must respect when paging.

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% across all 22 parameters, so the schema fully documents q, sort, region, numeric range filters, and boolean availability flags. The description adds no parameter meaning beyond the schema, which is the baseline 3 case.

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

Purpose3/5

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

The sentence names a verb (search) and a resource (YouTube creators dataset), but it is essentially a restatement of the tool name 'datasets_youtube_creators_search' and says nothing about scope, coverage, or how it differs from siblings like datasets_youtube_creators_facets, datasets_youtube_creators_item, or the generic datasets_creators_search. An agent can infer the general intent but gets no discriminating detail.

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 guidance on when to use this tool versus the sibling facets or item tools, nor versus the near-identical datasets_creators_search. No prerequisites, no exclusions, no indication of what queries it suits best.

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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