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Crawlora MCP

datasets_reddit_trending_search

Read-only

Search the Reddit trending-posts dataset (daily hot-feed snapshots across tracked subreddits, no score field).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoOptional full-text query over the post title, max 256 characters.
dateNoOptional snapshot date filter, yyyy-MM-dd. Defaults to the latest available snapshot (today's trending).
pageNoResult page number, 1-based, default 1; page times page_size must not exceed 10000.
sortNoOptional sort order. Allowed values: rank (trending order), date_desc (a subreddit's history over time). Defaults to rank.
page_sizeNoPage size, default 20, max 100; page times page_size must not exceed 10000.
subredditNoOptional exact subreddit-name filter (case-sensitive as tracked, e.g. webscraping).

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

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds a genuinely useful data-shape disclosure ('no score field') and the snapshot cadence, which is context the annotations do not carry. It still says nothing about coverage limits or how snapshots differ semantically from live data.

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 sentence with zero filler, and the resource identity is front-loaded before the dataset qualifier. Efficient, though the parenthetical carries a lot of compressed information that could be split for scanability.

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

Completeness3/5

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 no explanation, and annotations cover the safety profile. What remains missing is routing guidance among the many sibling Reddit and dataset tools, which matters for a zero-required-parameter search tool.

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 six parameters (q, date, page, sort, page_size, subreddit) are already documented with defaults and constraints. The description adds no parameter-level meaning beyond the schema, so the baseline 3 applies.

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?

States a specific verb (Search) and resource (the Reddit trending-posts dataset), and the parenthetical clarifies the dataset's nature as daily hot-feed snapshots across tracked subreddits. An agent can distinguish it from live Reddit tools like reddit_search, though the description never names that sibling explicitly.

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 when-to-use or when-not-to-use guidance. The word 'dataset' implies a historical/snapshot source rather than live Reddit, but the description never tells the agent when to prefer this over reddit_search, reddit_trends, or reddit_subreddit_posts.

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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