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inbox.acknowledge

DestructiveIdempotent

Keep auto-applied inbox items as-is and finalize the automatic action. Confirm the specific items with the user first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsYesInbox item ids to acknowledge
confirmedYesMust be true after the user confirms keeping these automatic actions

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
metaNo

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and idempotentHint=true, so the safety profile is known. The description adds value by clarifying that the items are kept unchanged ('keep auto-applied items as-is') and that user confirmation is a prerequisite, which is not derivable from annotations alone.

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 zero waste. The core purpose is front-loaded, and the confirmation requirement is stated succinctly.

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?

The tool is simple with an output schema available, so return values are already covered. The description covers the essential behavioral requirement (user confirmation) and the intent (finalize auto-applied items). Nothing an agent needs to call it correctly is missing.

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 covers 100% of parameters with clear descriptions ('Inbox item ids to acknowledge' and 'Must be true after the user confirms'). The description adds no further parameter-level detail, so the baseline of 3 is appropriate when schema does the heavy lifting.

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 clear action ('keep auto-applied items as-is and finalize the automatic action') and the title 'Acknowledge inbox items' reinforces the verb-resource pair. It distinguishes itself from siblings like dismiss (which discards) and undo (which reverts) by implying these items are intentionally kept.

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 an explicit prerequisite: 'Confirm the specific items with the user first.' This tells the agent when to call the tool (after user confirmation) and implies it is the appropriate action for finalizing auto-applied items rather than declining, dismissing, or undoing them. It does not explicitly name alternatives, but the condition is clear.

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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TDQS

A3.6/5.0
Disambiguation4/5

The tools are largely distinct due to the domain-prefixed naming (inbox, jobs, signals, etc.) and detailed descriptions. While there is some overlap among inbox actions like acknowledge, apply_suggestion, and decline, the descriptions clarify each behavior. The signals and recommendations sub-groups also have clear boundaries, making misselection unlikely.

Naming Consistency5/5

All tools follow a consistent pattern of domain.entity.action or domain.action (e.g., inbox.list, jobs.interviews.add, signals.recommendations.dismiss). This uniform camelCase-with-dots convention makes the set highly predictable and easy to navigate.

Tool Count2/5

At 55 tools, the server far exceeds the 25-tool threshold for 'too many' as per the calibration. While the broad domain of job search management justifies numerous operations, the count is still overwhelming and could overwhelm agents or cause selection errors. Several signal-related tools could potentially be consolidated without compromising functionality.

Completeness5/5

The tool set covers the full lifecycle of job applications: inbox management (list, get, draft, send), job tracking (add, update, archive, delete), interviews (add, update, delete), offers (create, update, accept, decline, negotiation), and company signals (track, pause, recommend, block). There are no obvious missing operations for the core workflows.

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