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Glama

Сколько запросов потрачено

smartup_usage
Read-onlyIdempotent

Check the connector's daily API request count and limit before large data exports to avoid exceeding shared capacity.

Instructions

Сколько запросов коннектор сделал за сегодня и какой у него предел. Лимиты SmartUp общие с боевой работой, поэтому смотреть сюда стоит перед большими выгрузками.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.0

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, and non-destructive behavior. The description adds useful context about limits being shared with production work, which helps agents anticipate quota impact. No contradictions with 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, front-loaded with the core information (what it reports) followed by the practical usage hint. Zero waste, perfectly concise.

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 query tool with no parameters and annotations covering safety, the description is fully adequate. It implies the output includes numbers (requests made and limit), which is sufficient for an agent to know what to expect.

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, so the baseline is 4. The description correctly omits any parameter details, as there is nothing to explain beyond what the schema already indicates.

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 the tool reports the number of requests made today and the limit, with a specific resource (connector usage) and a clear purpose. It distinguishes itself from sibling tools that operate on specific business objects (orders, stock, etc.) by focusing on quota/usage.

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

Usage Guidelines5/5

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

The description explicitly advises checking this tool before large exports, providing concrete timing guidance. While it doesn't name alternatives, no alternative exists for usage checks, and the context is clear and actionable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.