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GMPSignal Real-Time Intelligence MCP (59 Tools)

GMPSignal Real-Time Intelligence MCP (59 Tools)

Official
by xpayrcom
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Hybrid

eksi_sozluk_scraper_entries_trending

Extract structured Eksi Sozluk entries and trending topics by setting a max result count, giving you real-time data for monitoring discussions and spotting emerging themes.

Instructions

Eksi Sozluk Scraper - Entries & Trending: Real-time structured data extraction feed for Eksi Sozluk Scraper - Entries & Trending.

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": "eksi_sozluk_scraper_entries_trending"
  }
}

Input Schema

NameRequiredDescriptionDefault
maxResultsNoMaximum number of structured items to extract.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.2/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full disclosure burden, yet it only asserts "real-time structured data extraction." It says nothing about whether access requires auth or a key, rate limits, whether results are cached, how "trending" is computed, or what happens on scrape failure — all critical for a scraping tool with zero annotation coverage.

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 single sentence is circular — it reuses the tool name twice and pads with marketing-flavored phrasing ("real-time structured data extraction feed"). Brevity here reflects under-specification rather than efficient communication.

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?

With no annotations, no output schema, and a description that does not describe the returned data shape, an agent cannot predict what a call yields. The word "Entries & Trending" hints at two content modes that are never explained, leaving the definition incomplete for a data-extraction tool.

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?

There is only one parameter (maxResults) and schema description coverage is 100%, so the schema already explains it as the maximum number of structured items to extract. The description adds no further meaning, but the baseline of 3 applies when the schema does the work.

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 description essentially restates the tool name: "Real-time structured data extraction feed for Eksi Sozluk Scraper - Entries & Trending." It never states what the tool actually returns (forum entries? trending topics? both?) or how it differs from the many other scraper siblings, so the only usable signal is the name itself.

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 prerequisites, and no pointer to an alternative tool. With dozens of sibling scrapers listed, an agent gets no help deciding when this Turkish dictionary feed is the right choice versus another source.

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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