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CONN-SKILL

@connskill/mcp-growth-services

Official

news_search

Search Google News by keyword to retrieve headlines with source, URL, snippet, and timestamp; pay 0.03 USDC on Base via x402 per request.

Instructions

Google News results for a keyword: headlines with source, URL, snippet and timestamp (costs 0.03 USDC on Base via x402)

Input Schema

NameRequiredDescriptionDefault
keywordYesSearch term. A one-element list is also accepted; its first entry is used.
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

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose the notable behavioral trait that each call costs 0.03 USDC on Base via x402. However, it says nothing about auth requirements, rate limits, failure modes, or what the paid/confirmNewPurchase flow does beyond what the schema already states.

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

Conciseness4/5

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

A single dense sentence that front-loads the resource and outcome, with the cost caveat appended in parentheses; nothing is wasted. It is efficiently sized, though the parenthetical pricing clause is easy to skim past.

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?

With no output schema, the description usefully sketches the return shape (headlines with source, URL, snippet, timestamp) and flags the per-call cost. It remains incomplete on the language/location parameters and on the purchase-confirmation mechanics, which are non-obvious for a paid endpoint.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50%: keyword and confirmNewPurchase are documented in the schema, but language_code and location_code appear as bare defaults with no explanation of their accepted values or meaning. The description adds no parameter-level detail at all to compensate for that 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?

Names a specific verb and resource ('Google News results for a keyword') and enumerates the returned fields, so the agent knows exactly what it gets. It does not, however, distinguish itself from adjacent SERP-style siblings such as bing_serp, serp_report, or image_search, so sibling differentiation is missing.

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?

There is no statement of when to use this tool rather than bing_serp, serp_report, or maps_search, and no prerequisites or exclusions are given. Usage must be inferred entirely from the tool name and the mention of news headlines.

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