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arbengine

mailbox-mcp

get_package_photos

Read-onlyIdempotent

Retrieve package photos with OCR-extracted text and confidence scores. Filter by exterior, label, barcode, or content scan.

Instructions

Get photos for a package with OCR-extracted text and confidence scores. Filter by photo type to get only exterior shots, label closeups, barcode scans, or content scans.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
package_idYesUUID of the package to get photos for.
photo_typeNoFilter by photo type. "exterior" = package exterior, "label" = shipping label closeup, "barcode" = barcode scan, "content_scan" = opened package contents.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesPackage photo records with OCR metadata.
Behavior4/5

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

Annotations already indicate readOnly, idempotent, non-destructive behavior. The description adds that photos include OCR-extracted text and confidence scores, and that filtering is supported. This provides additional context beyond annotations without contradiction.

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 wasted words. The key action and differentiation are front-loaded.

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?

Given the small number of parameters, annotations, and the presence of an output schema (though not shown), the description is complete. It covers what the tool does, what it returns, and how to filter. No significant gaps.

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?

Schema coverage is 100%, so baseline is 3. The description adds meaning by explaining the photo_type enum values (e.g., 'exterior' = package exterior). This enhances understanding beyond the schema.

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 clearly states the tool retrieves photos for a package, including OCR-extracted text and confidence scores, and allows filtering by photo type. This is specific and distinguishes it from sibling tools like 'get_package'.

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

Usage Guidelines3/5

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

The description implies usage when photos with OCR data are needed, but lacks explicit guidance on when to use this tool over alternatives among the many sibling tools. No 'when to use' or 'when not to use' instructions are provided.

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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