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Facility Compliance Dossier

fda_facility_dossier
Read-onlyIdempotent

Compliance-first facility dossier by FEI number. Returns the facility profile plus recent inspections, citations, warning letters, import refusal history, import-alert mentions, recall context, freshness, and recommended next tools. Use this when you want the fastest FEI-level manufacturing risk view instead of the broader product-focused facility profile.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
feiYesFDA Establishment Identifier (FEI number)
evidence_limitNoNumber of recent evidence rows to return per evidence section

TDQS

A4.2/5.0
Behavior4/5

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

The annotations already declare readOnlyHint and idempotentHint, covering the safety profile. The description adds valuable behavioral context beyond the annotations: the compliance-first focus, the breadth of included data sections, freshness information, and the fact that it recommends next tools. No contradictions with annotations.

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

Conciseness5/5

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

The description is three sentences, each earning its place: the first states the core purpose, the second lists the return contents, and the third gives usage guidance. It is front-loaded with the most important information and contains no filler.

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

Completeness4/5

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

For a complex dossier tool with no output schema, the description adequately lists the major result categories (inspections, citations, warning letters, import refusals, recalls, etc.) and the intended use case. It could explicitly mention that evidence_limit applies per section, but that is already documented in the schema. The description is complete enough for an agent to understand what it will receive.

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 input schema has 100% coverage for both parameters (fei and evidence_limit) with clear descriptions. The tool description adds no additional semantic meaning beyond what the schema already provides, so the baseline of 3 applies.

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

Purpose5/5

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

The description clearly states the tool's function as a compliance-first facility dossier keyed by FEI number, and enumerates the specific contents (inspections, citations, warning letters, import history, recall context, etc.). It also distinguishes itself from the 'broader product-focused facility profile', making it easy to differentiate from sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly says when to use the tool ('when you want the fastest FEI-level manufacturing risk view') and contrasts it with the alternative ('instead of the broader product-focused facility profile'). However, it does not name a specific sibling tool, so it falls short of fully explicit alternative naming.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools have distinct purposes with clear boundaries, such as fda_search_drugs for drug applications and fda_search_510k for device clearances. However, some overlap exists, like fda_device_udi and fda_device_udi_lookup both querying UDI data, which could cause confusion despite differences in scope.

Naming Consistency5/5

All tool names follow a consistent snake_case pattern with a clear fda_ prefix, using descriptive verbs like search, get, list, and link. This uniformity makes the set predictable and easy to navigate, with no deviations in naming style.

Tool Count2/5

With 48 tools, the count is excessive for a single server, making it overwhelming and difficult for agents to manage. While the domain is broad (FDA data), the toolset feels bloated with many specialized or overlapping tools that could be consolidated.

Completeness5/5

The toolset provides comprehensive coverage of FDA data domains, including drugs, devices, inspections, compliance, recalls, and facilities. It supports full CRUD-like operations (e.g., search, get, link, save) and lifecycle workflows, with no obvious gaps for the intended purpose.

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