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NearIQ

NearIQ MCP Server

Official
by NearIQ

get_gap_analysis

Perform a gap analysis comparing your business to competitors. Identify strengths, weaknesses, and gain actionable recommendations.

Instructions

Get AI-powered gap analysis comparing your business to competitors. Identifies strengths, weaknesses, and actionable recommendations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must carry the burden of disclosure. It states the tool is AI-powered and identifies strengths, weaknesses, and recommendations, but does not mention prerequisites (e.g., that competitors must be added first) or any side effects. This is adequate but not comprehensive.

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?

Two sentences, no fluff. Every word serves a purpose: describes the action ('Get'), the resource ('gap analysis'), the method ('AI-powered'), and the outputs ('strengths, weaknesses, and actionable recommendations').

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

Completeness4/5

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

Given the tool has no parameters and no output schema, the description covers the core functionality well. However, it does not mention that it likely requires prior competitor data (note sibling tool add_competitor exists), which would enhance completeness. Still sufficient for a simple tool.

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?

The input schema has 0 parameters, so the description does not need to add parameter information beyond what the schema provides. According to guidelines, a baseline of 4 applies for 0 parameters. The description is clear for this context.

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 the tool returns an AI-powered gap analysis comparing the user's business to competitors, and lists the outputs: strengths, weaknesses, and recommendations. This distinguishes it from sibling tools like get_market_leaderboard or get_competitor_detail.

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?

The description implies usage for comparing business to competitors but does not provide explicit guidance on when to use it versus alternatives, nor any prerequisites or exclusions. The context is clear but lacks depth.

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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