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lukaskostka99

Marketing Miner MCP

Batch Keyword Search Volume

marketing_miner_batch_search_volume
Read-onlyIdempotent

Fetch search volume, CPC, YoY change, and 12-month seasonality for up to 1000 keywords in a single request. Avoid looping single keyword calls to save API credits and get faster results.

Instructions

Fetch volume, CPC, YoY change and 12-month seasonality for up to 1000 keywords in one POST request.

Args:

  • lang: Market code (cs/sk/pl/hu/ro/gb/us).

  • keywords: 1-1000 keywords (each 2-80 chars).

  • response_format: 'markdown' (default) or 'json'.

Returns an array of records, one per keyword. Prefer this over calling marketing_miner_get_search_volume in a loop - it is one API credit per keyword and much faster.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langYesLanguage/market code. 'gb' = United Kingdom, 'us' = United States.
keywordsYes1-1000 keywords. Each 2-80 chars.
response_formatNoOutput format. 'markdown' for human reading, 'json' for structured processing.markdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
langYes
countYes
keywordsYes
Behavior4/5

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

Annotations already mark readOnly and idempotent. The description adds that it is a POST request (non-modifying query), returns an array of records, and mentions API credit cost and speed, which are useful beyond annotations.

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?

Three brief paragraphs with clear sections: purpose, args, and return/guidance. No unnecessary words; efficient and well-organized.

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?

Given simple inputs, existence of output schema, and annotations covering safety, the description fully addresses purpose, parameters, output, and usage guidance. No obvious gaps.

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% with descriptions for all parameters. The description restates most constraints but adds context like response format options and market code examples, adding marginal value.

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 fetches volume, CPC, YoY change, and seasonality for up to 1000 keywords via POST. It distinguishes from the sibling 'marketing_miner_get_search_volume' by explicitly recommending batch over looping.

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?

Explicitly advises to use this tool over calling the singular version in a loop, citing cost and speed. Provides key usage constraints (up to 1000 keywords, 2-80 chars, market codes) and formats.

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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