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GMPSignal MCP Server

GMPSignal MCP Server

fda_warning_letters_compliance_scraper

Monitor FDA GMP warning letters and violation categories across pharmaceuticals, medical devices, biologics, and food, with keyword filtering to support compliance screening.

Instructions

Monitor US FDA pharmaceutical, medical device, biologics, and food GMP inspection warning letters and violation categories.

Input Schema

NameRequiredDescriptionDefault
maxResultsNoMaximum warning letters to return.
searchKeywordNoOptional company name or violation keyword.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.3.1

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral burden, but it only states the data domain. It does not disclose freshness, pagination, rate limits, authentication needs, whether results are summaries or full letters, or what 'monitor' means operationally for a single tool invocation.

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 definition is a single front-loaded sentence with no wasted wording. Its weakness is under-specification rather than verbosity.

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?

Given no annotations, no output schema, and a similar sibling tool for FDA recalls, the description is too thin for an agent to invoke it confidently. It omits return behavior, data freshness, pagination, and sibling routing guidance.

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?

Schema description coverage is 100%, and both parameters are already documented in the schema. The description does not add meaning about maxResults limits or how searchKeyword matches company names versus violation keywords, so baseline 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 names a specific resource: US FDA warning letters covering pharmaceutical, medical device, biologics, and food GMP inspections, plus violation categories. The verb 'Monitor' is less precise than 'scrape' or 'list' for a callable tool, and it does not distinguish this from siblings such as fda_recalls_enforcement_monitor.

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 explicit guidance on when to use this tool versus alternatives, especially versus fda_recalls_enforcement_monitor or global_product_recalls_monitor. The description implies a monitoring use case but gives no conditions, exclusions, or prerequisite context.

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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