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Mhra Safety Alerts

mhra_safety_alerts
Read-onlyIdempotent

UK medicines and medical device safety alerts published by the MHRA on GOV.UK: Class 1-4 medicines recalls with affected batch numbers, Field Safety Notices from device manufacturers, device safety information, and National Patient Safety Alerts. Answers "has this medicine or device been recalled in the UK", "which batches were withdrawn", and "what safety alerts were issued last month". Returns each alert with its title, alert category, issue date, one-line summary and GOV.UK URL; filter by free text, category, issue-date range and clinical specialism.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNo"newest_issued" (default) orders by the date MHRA issued the alert; "newest_published" orders by when the GOV.UK page went live. They differ — a weekly notice issued on the 31st can publish on the 9th of the next month.
limitNoAlerts to return, 1-100 (default 20).
queryNoFree-text search over alert titles and summaries, e.g. a medicine name ("fingolimod"), a manufacturer ("Zentiva") or a device type ("infusion pump").
offsetNoResults to skip, for paging (default 0).
issued_toNoLatest issue date, YYYY-MM-DD.
alert_typeNoRestrict to one alert category. One of: field-safety-notices, medicines-recall-notification, device-safety-information, national-patient-safety, mhra-safety-round-up.
specialismNoClinical specialism slug the alert is tagged for, e.g. "pharmacy", "dispensing-gp-practices", "medical-devices".
issued_fromNoEarliest issue date, YYYY-MM-DD.

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 establish that this is read-only, idempotent, and non-destructive. The description adds meaningful behavioral context about the data source, alert types, and the per-alert response fields, and it does not contradict the 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 dense sentences that front-load the core scope, then move to answerable questionsate, then response shape and filters. Every sentence earns its place with no filler or repetition of schema content.

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?

Given that all parameters are documented in the schema and there is no output schema, the description supplies essential context: source, alert categories, question types, returned fields, and filter dimensions. This is sufficient for an agent to invoke the tool correctly.

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 provides 100% coverage and already explains each parameter in detail, including sort semantics, date formats, allowed alert_type values, and examples. The description only summarizes filter axes without adding parameter-level detail beyond the schema, so the baseline of 3 is appropriate.

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 names a distinct resource (UK MHRA safety alerts on GOV.UK), enumerates the alert categories covered, and supplies concrete questions it answers ('has this medicine or device been recalled', 'which batches were withdrawn', 'what safety alerts were issued last month'). This clearly separates it from siblings like mhra_alert_detail and mhra_drug_safety_update.

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 intended use is made clear through the answerable questions and the listed filter dimensions, so an agent can infer when to call it. It does not explicitly state when to prefer sibling tools such as mhra_alert_detail, so it stops short of full routing guidance.

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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