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SMKlog Parcel Shipping Rates

Track a SMKlog shipment

track_parcel
Read-onlyIdempotent

Track a shipment whose shipping label was bought on smklog.com, by carrier tracking number. Returns the current delivery status, the latest scan events and the estimated delivery date when the carrier reports one. Works for SMKlog labels only — it is not a universal tracker for arbitrary USPS, UPS, FedEx or DHL numbers, so a number from any other seller comes back not-found rather than as a status. Unrelated to the two pricing tools: it neither quotes nor spends quote allowance. Parameter rules: tracking_number is the only key; no order id or email is needed or accepted. When the label was bought through a create_checkout_link session, get_checkout_status hands back this number at label_ready. It is matched after removing spaces and hyphens and ignoring case, so a pasted or spoken number works as-is. Expect USPS as 20 to 22 digits (13 characters ending in US for international), UPS as 1Z plus 16 characters, FedEx as 12 to 22 digits; anything shorter than 6 characters after cleanup is refused as tracking_number_required, and a number SMKlog never sold answers 404 tracking_not_found with status "not_found". Scan events come newest first, up to eight.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tracking_numberYesCarrier tracking number from the SMKlog receipt or label page

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventsYesScan events, newest first, up to eight
trackingYes

TDQS

A5/5.0
Behavior5/5

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

Beyond the readOnly/idempotent annotations, the description discloses the actual behavior: return contents (status, scan events, ETA), error responses (tracking_number_required, 404 tracking_not_found with status 'not_found'), normalization rules (strip spaces/hyphens, ignore case), format expectations, and the newest-first eight-event limit. No behavior contradicts 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 long but dense, and every sentence contributes non-obvious information needed to call the tool correctly. It is front-loaded with the core purpose and return values, then progressively adds exclusions, parameter rules, validation, and error behavior.

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 single-parameter read tool with output schema present, the description is fully sufficient: it names what is returned, explains edge cases, defines error semantics, and clarifies when the tool should not be used. No important caller-facing behavior is omitted.

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

Parameters5/5

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

Even though the schema already documents tracking_number at 100% coverage, the description adds crucial semantics: it is the only accepted key, no order id or email is accepted, values are normalized, expected carrier formats are given, and sub-6-character inputs are refused. This goes well beyond the schema's one-line description.

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 first sentence names a specific verb ('Track'), a specific resource (SMKlog shipments), and a specific lookup key (carrier tracking number). It also differentiates itself from universal trackers and from the pricing tools, so an agent can tell it apart from its siblings without opening the schema.

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 states when the tool applies ('SMKlog labels only'), when it does not ('not a universal tracker for arbitrary USPS, UPS, FedEx or DHL numbers'), and that it neither quotes nor spends quote allowance. It also points to get_checkout_status as the way to obtain the tracking number after a create_checkout_link session, giving clear 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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TDQS

A4.9/5.0
Disambiguation5/5

Each tool targets a distinct operation: live quote versus checkout session versus reference index versus tracking. The only potential overlap is create_checkout_link's live-pricing fallback, but its stated purpose and required quote_id flow make the boundary clear.

Naming Consistency5/5

All four tool names follow the same imperative verb_noun pattern in snake_case: create_checkout_link, get_parcel_quote, get_price_index, track_parcel. No mixed conventions or vague verbs.

Tool Count5/5

Four tools is a well-scoped set for a parcel shipping domain: one for quotes, one for checkout links, one for reference pricing, and one for tracking. Each tool earns its place without bloat or redundancy.

Completeness4/5

The core workflow is covered: get a quote, create a checkout link, and track the resulting label, with a free price-index tool for reference. Minor gaps exist around post-purchase lifecycle operations like voiding labels or retrieving session status, but those are not central to the stated purpose.