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Animal Drug Monthly Updates

animal_drug_monthly_updates
Read-onlyIdempotent

List the FDA Green Book monthly update publications — the monthly PDF index of what changed in the approved-animal-drug list (new approvals, withdrawals, sponsor/labelling changes). Answers "what animal drug approvals changed recently", "give me the latest Green Book update". Returns year, month and a direct PDF URL per issue.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNoOptional: only this publication year, e.g. 2026.
limitNoMax issues to return, newest first (1-120, default 12).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is covered. The description adds genuinely useful behavior beyond that: the resource is a PDF index, and each item returns year, month and a direct PDF URL, which substitutes for the absent output schema.

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?

Three tightly packed sentences: identity, what changed is covered, example asks, and return shape. Every clause earns its place and the core purpose is front-loaded.

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

Completeness5/5

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

For a two-parameter, read-only list tool, the description covers the resource identity, the kind of change data included, the intended questions, and the return fields — exactly compensating for the missing output schema. Nothing an agent needs in order to call it correctly is absent.

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% — both year ('only this publication year') and limit ('newest first, default 12') are already documented in the schema. The description adds no syntax or format detail beyond that, so the baseline 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?

States a specific verb (List) and resource (FDA Green Book monthly update publications) and immediately explains what the resource contains: new approvals, withdrawals, sponsor/labelling changes. An agent can distinguish this from animal_drug_search or animal_drug_detail without opening any schema.

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 example queries ('what animal drug approvals changed recently', 'give me the latest Green Book update') clearly signal the intended context. However, it never names or excludes alternatives such as animal_drug_detail or recent_changes, so the routing guidance is implicit rather than explicit.

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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