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GMPSignal Real-Time Intelligence MCP

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turkey_weather_mgm_official

Turkey Weather Forecast (MGM Official) - 81 Provinces: Real-time structured data extraction feed for Turkey Weather Forecast (MGM Official) - 81 Provinces.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "turkey_weather_mgm_official"
  }
}

Input Schema

NameRequiredDescriptionDefault
maxResultsNoMaximum number of structured items to extract.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2/5.0
Behavior1/5

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

With no annotations at all, the description carries the full burden and delivers almost nothing: 'Real-time' is the only behavioral signal. It does not say whether calls are free or rate-limited, whether data is scraped live or cached, what freshness guarantees exist, or what happens at the default maxResults of 10 — gaps that matter for an unannotated network-bound feed.

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

Conciseness2/5

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

It is short, but the shortness comes from duplication rather than economy: the same title string is repeated verbatim in a single sentence. There is no front-loaded statement of purpose, no second sentence adding value, and the empty 'feed for X' construction wastes the only slot available.

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?

There is no output schema and no annotations, so the description must explain what a returned weather record contains and how a province is targeted — yet there is no location parameter and no explanation of how 81 provinces are addressed or returned. For a data-retrieval tool this leaves the agent unable to predict the response shape or result ordering.

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 single parameter maxResults is fully documented in the schema ('Maximum number of structured items to extract', default 10), so the schema does the work. The description adds no meaning about what an 'item' is or whether pagination beyond maxResults is possible; baseline 3 applies given 100% coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The text is essentially the name and title restated: 'Turkey Weather Forecast (MGM Official) - 81 Provinces' appears twice with only the filler phrase 'Real-time structured data extraction feed' between them. It does convey the resource (weather forecasts for Turkish provinces from MGM), but 'structured data extraction feed' is a category label rather than a verb describing what the tool actually returns or does.

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 when-to-use guidance, no mention of alternatives among the many sibling data tools, and no statement of prerequisites. An agent cannot tell from this text under what circumstances this tool is preferable to, say, the earthquake or fuel-price feeds beyond the obvious domain difference.

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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