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Search FDA Debarments

fda_search_debarments
Read-onlyIdempotent

Search current FDA debarment lists across drug applications, drug imports, and food imports. These are rare but very high-severity compliance signals for people or firms barred from certain FDA-regulated activities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoPerson or firm name (fuzzy match)
limitNoMax results to return (1-500)
offsetNoResult offset for pagination
date_toNoEnd date for effective_date range (YYYY-MM-DD)
date_fromNoStart date for effective_date range (YYYY-MM-DD)
list_typeNoDebarment list type
subject_typeNoWhether the record is a person or a firm

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds that lists are 'current' and that records are 'high-severity compliance signals', which is useful domain context but does not disclose operational behaviors like pagination limits, rate limits, or specific return format beyond what annotations imply.

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 extremely concise: two sentences, the first stating the exact action and scope, the second providing significance. Every word earns its place, with no redundancy or unnecessary detail.

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?

Given the full schema coverage, rich annotations (readOnly, idempotent), and optional parameters, the description plus schema provide sufficient context for a search tool. However, since no output schema exists, the description could have briefly mentioned what fields are returned, but it's not a major gap for a simple search operation.

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% with all 7 parameters described. The description itself adds no parameter-level detail beyond the schema, so the baseline of 3 is appropriate. It does not clarify fuzzy matching behavior or date-range semantics beyond what parameter descriptions already provide.

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 uses a specific verb 'Search' and a clear resource 'FDA debarment lists' with three explicit categories (drug applications, drug imports, food imports). This distinguishes it from sibling tools like fda_search_enforcement or fda_search_warning_letters, which cover different FDA enforcement areas.

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?

The description provides clear context that debarments are 'rare but very high-severity compliance signals', implying use for high-stakes compliance checks. However, it does not explicitly name alternative tools or state when not to use this tool, so it lacks explicit exclusions despite clear usage 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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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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