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Pull inbox packet

pull_inbox_packet

Verify an async delivery by SHA-256 and security checks; optionally import it as a valid packet. The original delivery is neither acknowledged nor deleted.

Instructions

Verify an async delivery by SHA-256 and existing packet/security checks; set import to true to import it through normal 3Notch validation. Import does not acknowledge or delete the retained delivery.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
importNoWhen true, import the verified packet into this store through normal validation. Default false, which verifies the delivery without writing a record.
actorNameNoName recorded as the puller in the audit log; defaults to the server's configured actor, or 'mcp-client'.
asReviewedNoMark the imported packet as reviewed rather than unreviewed. Requires import=true, otherwise the call fails with NOTCH_INBOX_IMPORT_REQUIRED. Default false.
deliveryIdYesDelivery identifier from list_inbox, formatted 'delivery_' followed by 24 hex characters.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
stateYes
packetIdYes
deliveryIdYes
nextActionYes
packetHashYes
packetPathYes
importedPacketIdNo
Behavior4/5

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

Annotations indicate non-read-only behavior, and the description adds key behavioral details: it runs validation checks and, when importing, does not acknowledge or delete the retained delivery. This goes beyond the raw annotation values by explaining side effects and limitations.

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 two sentences long, front-loading the core purpose and then providing a critical clarification. Every sentence earns its place, with no redundant or filler content.

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?

Given the presence of a complete input schema, annotations, and an output schema, the description adequately covers the tool's functionality and key behavioral caveats. It could mention the no-write default when import is false, but the schema already covers that, making the description sufficient.

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?

The input schema already provides 100% coverage with detailed descriptions for all four parameters. The tool description does not add significant new parameter semantics beyond what the schema states, so a baseline of 3 is appropriate.

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's primary action: verifying an async delivery by SHA-256 and packet/security checks, with an optional import via the 'import' flag. It distinguishes itself from sibling tools like ack_inbox_delivery by explicitly noting that import does not acknowledge or delete the delivery.

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 description provides clear context for when to use this tool: to verify an inbox delivery and optionally import it. It implicitly excludes acknowledgment/deletion as separate actions, giving a when-not hint. However, it does not explicitly name alternative tools or provide a full decision tree.

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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