Skip to main content
Glama

Server Details

Is this medical device licensed in Canada? Search Health Canada MDALL and verify licences.

If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-03-26
URL
Repository
donniertf-hub/uk-mcp-fleet
GitHub Stars
0

TDQS

A3.5/5.0

Scored across 4 tools

Disambiguation4/5

The tools are mostly distinct: device_search and device_search_full overlap in purpose but are clearly differentiated by free/pro status, result cap, and active/expired detail. batch_licence_check and licence_detail both use licence numbers but serve different actions (validity check vs. detailed lookup).

Naming Consistency4/5

All names use consistent snake_case and are readable. They do not follow a strict verb_noun pattern, but the noun_action or noun_detail style is coherent across the set.

Tool Count5/5

Four tools are well-scoped for a focused licence lookup server, with each tool serving a clear role. The free/pro split is compact rather than redundant.

Completeness4/5

The set covers trade-name search, full search, licence detail, and batch validity checking, which are the core lookup workflows. Minor gaps exist, such as searching by company or filtering by device class, but agents can work around them.

Available Tools

4 tools
batch_licence_checkCInspect

PRO. Check up to 50 licence numbers for current validity.

NameRequiredDescriptionDefault
licencesYes
access_tokenNoSubscriber token from /success (or Authorization: Bearer)

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden and mostly doesn't. The 50-item cap is a genuinely useful disclosed constraint, but there is nothing on whether 'PRO' gating requires a paid token, how invalid or malformed licences are reported, or whether partial failures abort the batch.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short, front-loaded fragments with no filler. The unexplained 'PRO.' token borders on cryptic rather than informative, but the size is well matched to the tool.

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

Completeness2/5

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

No output schema and no annotations, so the description must convey results and failure modes — it says nothing about what 'current validity' returns per licence. For a batch tool where partial results are the norm, this leaves the agent guessing.

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 coverage is 50%: access_token is documented in-schema while licences is not. The description does compensate for that gap by establishing that licences is a list of licence numbers capped at 50, but adds no format, normalization, or duplicate-handling detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Check), resource (licence numbers), and the checked property (current validity), plus a batch bound of 50. This implicitly separates it from the single-record sibling licence_detail, though that separation is never made explicit.

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

Usage Guidelines2/5

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

No statement of when to choose this over licence_detail or the device_search tools, and no prerequisites beyond the opaque 'PRO.' prefix. The only routing signal is the 50-licence batch framing, which the agent must infer.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

device_search_fullBInspect

PRO. All licensed devices matching a trade name (up to 200), with active/expired flag.

NameRequiredDescriptionDefault
nameYes
active_onlyNo
access_tokenNoSubscriber token from /success (or Authorization: Bearer)

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose genuinely useful behavior: a hard result cap of 200, that only licensed devices are returned, and that active/expired status is surfaced. It says nothing about the authentication/token requirement behind access_token, whether results are paginated or truncated when the cap is hit, or what happens with non-existent trade names.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with the result cap and scope stated early, and no filler. The opaque 'PRO.' token is the only element that consumes space without conveying usable information.

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?

No annotations and no output schema mean the description is the only source of behavioral detail, and it is thin for a three-parameter search over a licensed-device dataset. Auth requirements, the truncation behavior at 200 results, and the sibling disambiguation are all absent, though the core purpose is recoverable.

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

Parameters2/5

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

Schema description coverage is only 33%, with just access_token documented, so the description must compensate and largely does not. It does clarify that 'name' is a trade name and that 'active_only' relates to the active/expired flag, but it never states what active_only=true actually filters versus what the flag field itself reports, leaving an ambiguity the schema cannot resolve.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource and scope: all licensed devices matching a trade name, capped at 200, with an active/expired flag. The 'PRO.' prefix and the 'licensed devices' qualifier hint at how it differs from the plain device_search sibling, but the difference is never made explicit. An agent can infer the purpose but must guess at the sibling distinction.

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

Usage Guidelines2/5

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

There is no when-to-use or when-not-to-use guidance, and the sibling tool 'device_search' is never mentioned even though the near-identical name makes disambiguation the single most important thing this description could do. The 'PRO.' marker implies a tier restriction but the condition that selects this tool over device_search is left entirely to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

licence_detailBInspect

PRO. Licence details for an original licence number: name, device class, licence type and company.

NameRequiredDescriptionDefault
licence_noYes
access_tokenNoSubscriber token from /success (or Authorization: Bearer)

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the burden; it does disclose the returned fields and flags PRO-tier access, which is useful context. However, it omits auth requirements beyond the schema's access_token, does not state read-only/mutation status, and never clarifies what 'original' versus a derived licence means.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with the PRO flag and the field list; nothing is redundant. Efficient though it sacrifices detail for brevity.

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?

No annotations and no output schema, so the description should do more; it lists returned fields (helpful) and notes PRO status. But it leaves licence_no format, 'original' semantics, and error/auth behavior unaddressed, so an agent lacks full footing for a lookup tool.

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 coverage is 50%: access_token is documented in-schema while licence_no has no schema description. The description contributes 'original licence number' to characterize licence_no, but adds no format or syntax detail, so value over the schema is marginal.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (retrieve licence details) and resource (licence), and enumerates the return fields (name, device class, licence type, company). It implicitly differentiates from batch_licence_check via 'an original licence number' (singular) but doesn't name the sibling explicitly.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to use this versus batch_licence_check or device_search. The 'PRO.' prefix hints at a tier/access nuance but no when/when-not or alternatives are stated, leaving usage to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 4 tool updates
    • First observedbatch_licence_check
    • First observeddevice_search
    • First observeddevice_search_full
    • First observedlicence_detail

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables querying the Health Canada Drug Product Database for approved drugs, including brand names, DINs, active ingredients, strengths, dosage forms, routes, and market status.
    398 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables querying FDA medical device regulatory databases including 510(k) clearances, PMA approvals, recalls, and adverse events through natural language.
    414 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI clients to query FDA medical-device data through public keyless APIs, including 510(k) clearances, predicates, MAUDE adverse events, recalls, warning letters, PMA approvals, registrations, and UDI records, with tools for postmarket health checks and raw FDA endpoint access.
    MIT
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.