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API-Market MCP Server

API-Market MCP Server

by Noveum
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Search_News

Retrieve news search results using query parameters like keywords, country, language, and result count. Ideal for integrating targeted news discovery into applications via API-Market MCP Server.

Instructions

Retrieve news search results based on query parameters

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "q": "<q>"
    },
    "name": "Search_News"
  }
}

Input Schema

NameRequiredDescriptionDefault
countNoNumber of results to return
countryNoCountry code
qYesSearch query
search_langNoSearch language
spellcheckNoEnable spellcheck

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Retrieve news search results' which implies a read-only operation, but doesn't mention any behavioral traits such as rate limits, authentication needs, result formats, pagination, or error handling.

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?

The description is a single, efficient sentence that front-loads the core purpose. There's no wasted language, though it could be slightly more informative given the lack of other context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a search tool with 5 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what the results look like, any limitations, or how to interpret outputs, leaving significant gaps for an AI agent.

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?

The description mentions 'based on query parameters', which aligns with the input schema. With 100% schema description coverage, the schema already documents all 5 parameters well. The description adds no additional meaning beyond this, so the baseline score of 3 is 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?

The description clearly states the tool's purpose with a specific verb ('Retrieve') and resource ('news search results'), and mentions the basis ('based on query parameters'). It doesn't explicitly differentiate from sibling tools like 'Search_Web' or 'Search_Images', but the 'news' focus provides some implicit distinction.

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 provides no guidance on when to use this tool versus alternatives like 'Search_Web' or 'Search_Images'. It mentions query parameters but doesn't specify contexts, exclusions, or prerequisites for usage.

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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