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Get Ranking Juices for a Niche

get_ranking_juice
Read-only

Retrieve competitor ranking juice for a niche to identify key search-ranking factors and get optimized listing breakdowns for each competitor.

Instructions

Use this when the user asks 'how do I rank higher', 'what's my ranking juice', or wants listing-optimization guidance. Retrieves the Ranking Juices for each Competitor within the specified Niche. Ranking Juice is DataDive's proprietary metric identifying the key factors driving search-ranking success for each Competitor's listing. Returns currentListing and optimizedListing breakdowns (rankingJuice + per-property contributions: title, bullets, description) plus per-competitor listing scores and the latestResearchDate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nicheIdYesThe unique identifier of the Niche (from `list_niches`).
Behavior4/5

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

The readOnlyHint annotation already establishes safety, and the description adds substantial context by detailing the return structure: currentListing/optimizedListing breakdowns, per-property contributions, per-competitor scores, and latestResearchDate. It explains the proprietary 'Ranking Juice' concept, which is valuable beyond the annotation.

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?

The description is composed of two efficiently structured sentences, with the usage guidance front-loaded. Every sentence contributes unique information—trigger conditions, resource, return details, and metric definition—without redundancy or fluff.

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?

Despite having no output schema, the description fully explains what the tool returns, including the nested breakdowns and research date. It also provides sufficient context for an agent to understand when to invoke it, making the description complete for a single-parameter read-only 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 coverage is 100% for the single parameter nicheId, and the schema already describes it as a unique identifier from list_niches. The description adds no further parameter-specific meaning, so the baseline 3 applies.

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

Purpose5/5

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

The description clearly states a specific verb ('Retrieves') plus resource ('Ranking Juices for each Competitor within the specified Niche') and defines the proprietary metric. It also provides user-intent triggers ('how do I rank higher', 'what's my ranking juice') that distinguish this from sibling tools like get_niche_keywords or get_niche_competitors.

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

Usage Guidelines5/5

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

The first sentence explicitly directs when to use the tool: 'Use this when the user asks... or wants listing-optimization guidance.' This gives clear context for selection without ambiguity, even though it doesn't name alternative tools directly.

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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