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GMPSignal Real-Time Intelligence MCP (59 Tools)

GMPSignal Real-Time Intelligence MCP (59 Tools)

Official
by xpayrcom

fda_warning_letters_scraper

Extract structured FDA warning letters and GMP compliance data in real time to monitor regulatory risks and support compliance research.

Instructions

FDA Warning Letters & GMP Compliance Scraper: Real-time structured data extraction feed for FDA Warning Letters & GMP Compliance Scraper.

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": "fda_warning_letters_scraper"
  }
}

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 provided, so the description carries the full behavioral burden and supplies almost nothing: only 'real-time' and 'structured'. It says nothing about rate limits, freshness/latency, whether it hits the official FDA source, whether results are truncated, or what happens when no letters match.

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, repeating the tool name twice and spending its only content on 'structured data extraction feed'. Zero information is front-loaded about scope, source, or output.

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 and no output schema, the description is the only place an agent could learn what a returned 'structured item' contains, what date range is covered, or whether the feed is paginated. None of that is present, so the definition is insufficient for correct invocation despite the tool's simple surface.

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 a single optional parameter (maxResults) with 100% schema description coverage that already explains 'Maximum number of structured items to extract.' The description adds no further meaning, so the baseline of 3 for high schema coverage applies.

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 restates the tool name almost verbatim ('FDA Warning Letters & GMP Compliance Scraper ... for FDA Warning Letters & GMP Compliance Scraper'), which is a tautology. The only added signal is 'real-time structured data extraction feed', which hints at live scraping, but it never states in plain terms what the agent gets back or how it differs from siblings like fda_recalls_enforcement or clinical_trials_fda_drug_pipeline_tracker.

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 prerequisites, and no mention of any alternative tool. Given several FDA-adjacent siblings in the catalog, the absence of any routing guidance leaves the agent to infer selection from the name alone.

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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