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DAITK (Dibblee AI Tool Kit) - Total Import Cost

service_status

What this service reads and how current it is. Returns the server version, row counts, when the mirror was last pushed, and every government source by its published name and authority with a link to it — CBSA Customs Tariff, Canada Gazette Part II, Justice Laws, CBSA Customs Notices, CBSA SIMA Measures in Force, Global Affairs steel quota utilisation, Finance Canada announcements — each with when it was last read. Cite the source name and URL when you tell a user where a figure came from.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it does so well by disclosing the exact outputs and the citation behavior. It conveys a read-only status inspection without needing to state it explicitly. It could be more transparent about potential errors or access constraints, but those are not critical for this zero-parameter read tool.

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?

The description is front-loaded with the core purpose and then enumerates the detailed return contents. The long list of government sources is useful because there is no output schema, and every sentence earns its place. It is slightly dense but not bloated.

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?

For a zero-parameter tool with no output schema, the description covers the major return values and even adds citation guidance. It is complete enough for an agent to know what to expect and how to use the result. Minor gaps like error behavior or exact date formats are acceptable at this level.

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?

The input schema is empty, so there are no parameter semantics to explain. According to the rubric baseline for zero parameters, a 4 is appropriate since the description does not need to compensate for missing parameter documentation.

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 states exactly what the tool does—reads service status and freshness—and lists the concrete return items: server version, row counts, mirror push time, and each government source with name, authority, link, and last-read time. This clearly distinguishes it from the sibling lookup tools like lookup_tariff or list_trade_measures.

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 opening line gives clear context: this tool is about what the service reads and how current it is. It also provides a specific usage instruction to cite the source name and URL when reporting a figure. However, it does not explicitly name alternatives or state when not to use it, so it stops short of a 5.

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
Disambiguation5/5

Each tool targets a distinct operation: enumerating measures, inspecting one measure, looking up raw tariff treatments, computing a landed-duty estimate, listing changes, and reporting service status. Potential overlap between lookup_tariff and resolve_duty is explicitly resolved in the descriptions, with lookup_tariff directing callers to resolve_duty for applicable treatment.

Naming Consistency4/5

Most tools follow a clear verb_noun pattern (get_measure_detail, list_trade_measures, lookup_tariff, resolve_duty). recent_changes and service_status deviate into adjective_noun / noun_noun forms, but all names are snake_case, short, and readable.

Tool Count5/5

Six tools is a well-scoped size for a read-only Canadian tariff and trade-measure research service. Each tool covers a distinct part of the workflow without redundancy or unnecessary surface area.

Completeness5/5

The surface covers the full read-only lifecycle: listing and detailing trade measures, looking up tariff rates, resolving final duty estimates with safeguards and SIMA handling, monitoring recent changes, and checking data freshness. No obvious operation is missing for the stated purpose.

Resources