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Check an order's status

check_job_status
Read-onlyIdempotent

Look up the current status of a print job (submitted, approved, printing, QC, shipped) and its UPS tracking number once shipped. Use when the user asks about an order they placed with HardCopy Labs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesThe order id, like hc-1a2b3c4d, returned by submit_print_job.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / job_id / description
      Added value: +"The order id, like hc-1a2b3c4d, returned by submit_print_job."
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds useful behavioral context beyond annotations by specifying that it returns status and the tracking number only once shipped, setting expectations for the response.

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?

Two concise sentences with no filler. The core action and return details are front-loaded, followed by the usage context. Every sentence earns its place.

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-only tool with strong annotations and an output schema, the description is complete. It covers what the tool does, what it returns, and when to use it, so an agent has everything needed to select and invoke it correctly.

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 description coverage is 100%: job_id is fully documented with its format ('hc-1a2b3c4d') and provenance ('returned by submit_print_job'). The description adds no parameter-level information beyond the schema, so the baseline of 3 applies.

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 a specific verb ('Look up') and resource ('current status of a print job'), enumerates the exact status values, and mentions the UPS tracking number. This makes it clearly distinct from the sibling tools (submit, reorder, validate) which perform different actions.

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?

It gives an explicit trigger condition: 'Use when the user asks about an order they placed with HardCopy Labs.' This tells an agent when to invoke it, though it doesn't explicitly name alternatives or exclusions. The clear context is sufficient given the small sibling set.

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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