Track Shipment
trackTrack a shipment by ID or tracking number. Auth required.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| shipment_id | Yes | Shipment ID or tracking number (e.g. S-12345-2616) |
trackTrack a shipment by ID or tracking number. Auth required.
| Name | Required | Description | Default |
|---|---|---|---|
| shipment_id | Yes | Shipment ID or tracking number (e.g. S-12345-2616) |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the description does not need to reiterate that. It adds 'Auth required', which is useful, but does not disclose what the tool returns or other behavioral aspects like real-time nature.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with no wasted words. The key information is front-loaded: action, resource, and identifier types.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema is present, and the description does not explain what the tool returns (e.g., tracking status, location, timestamps). With many sibling tools related to shipments, more context on the output is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a descriptive parameter including an example. The description adds little beyond the schema ('by ID or tracking number' mirrors the parameter description). Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the verb 'Track' and the resource 'shipment', and specifies the identifier types (ID or tracking number). This distinguishes it from sibling tools like booking or quoting, which serve different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description mentions 'Auth required' but does not provide explicit guidance on when to use this tool versus alternatives (e.g., status, events). Usage context is implied but not elaborated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose. Overlapping tools like batch_quote, compare_modes, and per-mode quote tools are clearly differentiated by their scope and use cases. Batch vs single booking are also distinct.
Most tools follow a verb_noun pattern in snake_case (e.g., batch_quote, list_bookings). A few like 'analytics' and 'events' are noun-only but still clear. Overall consistent with minor deviations.
26 tools cover a broad logistics domain including quoting, booking, tracking, documents, and account management. While slightly heavy, each tool serves a specific function and the count is reasonable for the scope.
The tool set appears complete for freight operations: all major modes quoted, single/batch/multi-stop booking, tracking, documents, invoices, history, and account management. No obvious missing CRUD operations.