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CONN-SKILL

@connskill/mcp-growth-services

Official

serp_report

Fetch a Google SERP snapshot for a keyword and location: ranked organic results, snippets, and SERP features (AI overview, local pack) as JSON or Markdown. Pay per call in USDC on Base.

Instructions

Google SERP snapshot for a keyword and location: organic results with rank, title, URL, snippet plus SERP features (AI overview, People also ask, featured snippet, local pack, knowledge graph) as JSON and Markdown (costs 0.03-0.5 USDC on Base via x402)

Input Schema

NameRequiredDescriptionDefault
keywordYesSearch keyword
language_codeNode
location_codeNoDataForSEO location (2276 = Germany)
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

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses the paid nature and price range ('costs 0.03-0.5 USDC on Base via x402') and the return formats, but says nothing about auth prerequisites, rate limits, or the significance of the confirmNewPurchase re-purchase flag beyond what the schema states.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single dense sentence with nested parentheticals; the core purpose is front-loaded but the price and SERP-feature details are crammed into trailing clauses. It is not bloated, but structure is a run-on rather than cleanly segmented.

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?

No output schema exists, and the description compensates by enumerating the returned payload (organic results, SERP features, JSON and Markdown formats) plus the payment cost. For invocation it is nearly complete, missing only usage routing and permission details.

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 75%, and the description only names 'keyword and location', echoing schema fields rather than adding format, defaults, or code semantics. The confirmNewPurchase meaning lives entirely in the schema. Baseline 3 is appropriate given the schema does most of the lifting.

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?

States a specific verb+resource ('Google SERP snapshot for a keyword and location') and enumerates the returned organic fields and SERP features. An agent can distinguish it from sibling serp-style tools like bing_serp or news_search without opening the schema.

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 explains what the tool returns but gives no when-to-use, when-not-to-use, or alternative guidance. With siblings like bing_serp, news_search, and local_businesses present, the agent gets no explicit routing rationale.

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