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Queue stats

loopback_get_stats
Read-onlyIdempotent

Retrieve feedback queue stats: counts by project and status. Use to orient before picking work or report queue health.

Instructions

Overview of the feedback queue: counts by project and status. Use to orient before picking work, or to report queue health.

Args: project (optional — omit for all projects).

Returns { total, projects: [{ project, by_status, total }] }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNoLimit stats to one project; omit for all projects

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalYes
projectsYes
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds return format details, which is helpful beyond 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?

Three concise sentences, front-loaded with purpose, no wasted words. Efficiently communicates usage, parameter, and return structure.

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 simple stats tool with one optional parameter and clear output described, the description is fully complete, aided by annotations and sibling context.

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 covers the parameter completely. The description restates the parameter's purpose without adding new semantics, meeting the baseline for 100% coverage.

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 it provides an overview of the feedback queue with counts by project and status, distinguishing it from action-oriented siblings like loopback_submit_feedback.

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 says 'Use to orient before picking work, or to report queue health,' giving clear context for when to use this tool versus alternatives.

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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