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Search Veterinary Adverse Events

fda_vet_events
Read-onlyIdempotent

Search veterinary adverse events (animal drug safety reports) by species, drug name, reaction, serious flag, or date range (YYYYMMDD format). Returns event reports including animal details, drug information, and adverse reactions. Related: fda_search_aphis (veterinary biologics facilities and establishments).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return (1-500)
offsetNoResult offset for pagination
date_toNoEnd receive_date (YYYYMMDD)
seriousNoFilter by serious adverse event
speciesNoAnimal species (searches animal JSONB)
date_fromNoStart receive_date (YYYYMMDD)
drug_nameNoDrug name (searches drug JSONB)

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already disclose read-only and idempotent behavior. The description adds that it returns event reports with animal details, drug information, and adverse reactions, which is useful. However, it also mentions 'reaction' as a filterable criterion, but no such parameter exists in the schema, creating potential confusion about actual capabilities. This partial inaccuracy lowers the score.

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 two sentences, front-loaded with the primary action, quickly summarizes return contents, and appropriately references a related tool. No wasted words.

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

Completeness3/5

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

For a search tool with 7 parameters and no output schema, the description gives a broad overview of filters and return contents, which is decent. However, it omits that 'reaction' is not a supported filter, and it does not mention default limit or pagination behavior (though these are in the schema). The misleading 'reaction' mention creates a gap in completeness.

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 schema provides 100% coverage of parameters with descriptions. The description adds a high-level grouping of filter types (species, drug name, serious flag, date range) but introduces a 'reaction' filter that is not present in the schema, diminishing its value. Baseline is 3 because schema already does the heavy lifting.

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: 'Search veterinary adverse events (animal drug safety reports)' with a specific verb and resource. It enumerates the main filter categories and explicitly distinguishes itself from the related sibling fda_search_aphis, making its purpose unambiguous.

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 on what the tool searches for (species, drug name, serious flag, date range) and mentions a related tool for veterinary biologics facilities, implying when to choose this tool over that alternative. However, it stops short of an explicit 'use this when you need X' or 'do not use for Y' statement.

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.

Resources