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get_usage

Read this workspace's plan and current usage. Free includes a monthly hosted AI allowance; paid repository AI uses customer model credentials without Since credit quotas. World State verification calls retain monthly plan limits. Read-only: does not run checks or acknowledge changes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden. It transparently discloses read-only semantics, plan differences between free and paid, hosted AI allowances, customer credentials, and that World State verification calls still count against monthly plan limits. The document is helpfully explicit about side effects (none), though the mention of 'Since credit quotas' is awkward and unclear.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence is a strong front-loaded summary, and the read-only note is useful. However, the middle sentence about free/paid allowances is grammatically tangled ('without Since credit quotas'), and the World State detail adds complexity without clear benefit for an agent deciding how to call the tool.

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?

For a zero-parameter read-only tool with no output schema, the description provides enough context: what it reads, plan-level nuances, and explicit non-behaviors. It does not describe the output shape, but 'plan and current usage' gives a reasonable expectation of the return content.

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?

The tool has zero parameters and an empty schema, so there are no parameter semantics to clarify. Baseline 4 applies because the description does not need to compensate for schema gaps.

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 opens with a specific verb and resource: 'Read this workspace's plan and current usage.' It clearly distinguishes itself from check-running and acknowledgement tools by stating it is read-only and does not run checks or acknowledge changes.

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 gives clear context for when to use the tool: when you need plan/usage information, and explicitly states it does not run checks or acknowledge changes, ruling out those workflows. It does not name a specific alternative tool, but the exclusion is sufficient for routing an agent away from check-related siblings.

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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