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arbengine

mailbox-mcp

update_action

Idempotent

Update an existing action request by adding agent notes, structured data, or a clarification response. Requires sync via mailbox_md_version to ensure instructions are current.

Instructions

Push notes, structured data, or a clarification response to an existing action request. Use this to add agent reasoning, attach extracted data, or respond when the facility asks for clarification. Requires mailbox_md_version to prove your MAILBOX.md instructions are in sync.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
action_idYesThe action request ID to update.
agent_dataNoStructured data to attach (e.g. OCR results, extracted fields, classification labels).
agent_notesNoFree-text notes from the agent (e.g. "Forwarding per standing rule #3").
decision_contextNoLink this decision to a specific MAILBOX.md instruction for auditability.
mailbox_md_versionYesYour current MAILBOX.md version (from get_mailbox_md). Required for sync verification.
respond_to_clarificationNoResponse text when action status is needs_clarification. Providing this auto-resumes the action to in_progress.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesUpdated facility action request record.
Behavior5/5

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

Annotations indicate idempotent and not destructive. Description adds valuable context: auto-resumes action when providing clarification response, requires sync verification. Does not contradict 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?

Two sentences with front-loaded purpose. Every word contributes: first sentence states function and three use cases, second adds critical requirement. No redundancy.

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?

Complete for a mutation tool: covers purpose, detailed use cases, required parameter, and behavioral effects (auto-resume). Output schema exists, so return values need not be described.

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 coverage is 100% and parameter descriptions are clear. The tool description adds minimal extra meaning beyond the schema (only the sync verification requirement), meeting the baseline.

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?

Description uses specific verb 'update' and resource 'action request', listing three distinct use cases (push notes, attach data, respond to clarification). Clearly distinguishes from siblings as no other tool updates an action.

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?

Explicitly states when to use: to add reasoning, attach extracted data, or respond to clarification requests. Mentions requirement for mailbox_md_version. Does not explicitly exclude scenarios but covers primary use cases.

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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