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double2dev

thenichegap-mcp

analyze_niche_gap

Analyze an SEO keyword with real SERP data to reveal search intent, industry must-haves, and content gaps, then guide differentiated article creation.

Instructions

Analyze an SEO keyword to find search intent, industry must-haves, and content gaps using real SERP data from TheNicheGap. Use this to help craft highly differentiated articles.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoThe language locale code for the analysis (e.g., 'en', 'zh'). Defaults to 'en'.
keywordYesThe target SEO keyword to analyze (e.g., 'best standing desk').

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries full behavioral burden. It mentions using 'real SERP data from TheNicheGap,' which hints at an external data source, but does not disclose read-only status, authentication needs, rate limits, latency, or return behavior.

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 tightly written sentences with no waste. The purpose and intended use are front-loaded and easy to parse.

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?

For a two-parameter analysis tool with no output schema and no annotations, the description covers purpose, outputs, and a usage context. However, it omits return structure and operational details that would help an agent invoke it confidently.

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 both parameters are already documented. The description does not add any parameter meaning beyond the schema, making the baseline 3 appropriate.

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 (analyze) and resource (SEO keyword), and names the outputs: search intent, industry must-haves, content gaps. It also identifies the data source. No siblings exist to differentiate from, so it falls short of a 5 only in that dimension.

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?

Gives one clear use case: 'Use this to help craft highly differentiated articles.' It does not state when not to use it, prerequisites, or alternatives, so usage is implied rather than fully guided.

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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