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CONN-SKILL

@connskill/mcp-growth-services

Official

traffic_estimate

Estimate organic and paid Google search traffic for up to 10 domains in one call. Pay 0.05 USDC on Base via x402 to compare search demand without signup or API keys.

Instructions

Estimated organic and paid Google traffic for up to 10 domains in one call (costs 0.05 USDC on Base via x402)

Input Schema

NameRequiredDescriptionDefault
targetsYesDomains to estimate
language_codeNode
location_codeNo
confirmNewPurchaseNoSet true only to intentionally buy an identical completed request again. Never use for retries or accepted/unclear purchases.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.1

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses the price (0.05 USDC on Base via x402) and the 10-domain batch ceiling — real behavioral context beyond the schema. However it omits auth requirements, what happens on partial failure, and return format.

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?

A single front-loaded sentence with the resource first and the cost tucked into parentheses. No wasted words.

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 4-parameter, no-annotation, no-output-schema tool, the description is minimal but serviceable: it conveys scope, batch limit, and cost. It leaves the semantics of language_code/location_code and the response shape unexplained, which is a real gap given the lack of annotations.

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 50%: targets and confirmNewPurchase are documented in the schema, while language_code and location_code have only defaults and no explanation. The description adds the 'up to 10 domains' batch hint but does not explain the language/location parameters, so it does not compensate for the coverage gap.

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 and resource: 'Estimated organic and paid Google traffic for up to 10 domains'. An agent can clearly tell what it returns. It does not name or differentiate from near siblings like domain_rank or keyword_metrics, keeping it below a 5.

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?

The description notes the batch limit and cost, but gives no guidance about when to use this versus alternatives such as domain_rank, keyword_metrics, or exposure_check. No prerequisites or exclusions are stated, so the agent must infer usage from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.