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G-Core
by G-Core

cloud_qotas_get_global

Retrieve global quotas for a client by providing their client ID.

Instructions

Get global quotas for a specific client.

Args: client_id: Client ID

extra_headers: Send extra headers

extra_query: Add additional query parameters to the request

extra_body: Add additional JSON properties to the request

timeout: Override the client-level default timeout for this request, in seconds

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_idYes
extra_headersNo
extra_queryNo
extra_bodyNo
timeoutNo
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits, but it only says 'Get global quotas', implying a read-only operation. No details about side effects, permissions, rate limits, or response structure are given.

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

Conciseness4/5

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

The description is short and front-loaded with the core purpose. Parameter listing is compact and non-redundant, though it includes typical code-generated docstring format, which is acceptable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description explains the basic purpose and required parameter, but lacks context about return format, error handling, or typical use cases. Given no output schema, more completeness would be beneficial.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must add meaning. However, it only provides minimal labels like 'Client ID' and generic explanations for extra headers/query/body/timeout, adding little value beyond the schema itself.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Get') and resource ('global quotas') and specifies it's for a specific client via the required client_id parameter. However, it does not differentiate from sibling tools like cloud_qotas_get_all or cloud_qotas_get_by_region, which cover other scopes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. It simply states the function without context.

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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