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Meridian Trace — Medical Device Registrations

find_similar_devices

Competing and comparable devices for a registration, matched on resolved device type (GMDN) rather than product-name text, and spread across markets so the answer is not all one country. Excludes the same manufacturer, so what comes back is the competitive set. Each result carries a match band. Use for competitive landscape, classification precedent in other markets, and finding how the same device type is described elsewhere. Get a registration_id from get_registrations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 15)
marketNoWith device_name, restrict the reference lookup to one market (ISO2)
device_nameNoA product name, as an alternative to registration_id — the closest registration is used as the reference device
registration_idNoThe _id of a registration, from get_registrations

TDQS

A4.6/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses key behaviors: matching on GMDN, excluding the same manufacturer, spreading results across markets, and each result carrying a match band. It does not mention rate limits or auth, but given the tool's nature, these disclosures are quite informative for agent selection.

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 compact and front-loaded. Three sentences cover purpose, exclusions, use cases, and prerequisite. No wasted words.

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?

The tool is moderately complex with 4 optional parameters and no output schema. The description explains the matching methodology, what results to expect (competitive set, match band), and typical use cases. It could mention edge cases (e.g., no results if no matching GMDN), but the core behavior is well covered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with parameter descriptions, so baseline is 3. The description adds notable value by explaining the relationship between device_name and registration_id (device_name is an alternative that finds the closest registration), and clarifies that market is used to restrict the reference lookup. This goes beyond the schema's brief descriptions.

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 purpose: finding competing and comparable devices for a registration, matched on GMDN type rather than product-name text. It distinguishes itself from siblings by specifying the matching basis (GMDN) and the competitive set nature (excludes same manufacturer, spreads across markets).

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

Usage Guidelines5/5

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

The description explicitly guides when to use this tool: for competitive landscape, classification precedent in other markets, and understanding how a device type is described elsewhere. It also contrasts with alternatives by noting it matches on GMDN rather than product-name text, and mentions getting a registration_id from get_registrations.

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

A4.2/5.0
Disambiguation4/5

The tools cover clearly different queries—classification, predicate lineage, similar devices, market presence, registration details, timelines, recent entries, license holders, and coverage—so most are easy to distinguish. However, the get_registration family and get_coverage/get_market_coverage share naming patterns that could cause initial misselection despite thorough descriptions.

Naming Consistency4/5

All tool names follow a snake_case verb-first pattern, which is consistent and readable. The main weakness is that get_coverage and get_market_coverage are name-level near-duplicates, and the registration variants require careful reading to tell apart.

Tool Count5/5

Eleven tools is well within the ideal range for a specialized regulatory data domain, and each tool addresses a distinct part of the workflow. None feel redundant or superfluous, and the set is small enough for reliable agent routing.

Completeness4/5

The domain is covered broadly: manufacturer resolution, registration list/detail, market presence, timelines, recent activity, license holders, classification, US predicate history, and competitive devices are all present. Minor gaps such as a direct global device-type search across all manufacturers or bulk export can be worked around with existing tools.

Resources