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Get Dare credit balance

dare_get_credit_balance
Read-onlyIdempotent

Check the signed-in Dare account's current credit balance before starting a large batch to ensure sufficient headroom.

Instructions

Fetch the signed-in Dare account's current credit balance. Read-only. Use before a large batch to confirm there is enough headroom.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
response_formatNo`markdown` for a readable summary, `json` for the raw payload.markdown

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, and the description adds context about auth scope ('signed-in account') and temporal freshness ('current'). This goes beyond the annotations without contradicting them.

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 short sentences with zero wasted words. The core action is front-loaded, followed by a safety qualifier and a practical usage tip, making the definition easy to parse.

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 has a single optional parameter, rich annotations, and a concise description that covers what it does, when to use it, and its safety profile. There is no output schema, but the response_format parameter covers output structure, so nothing necessary for correct invocation 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 description coverage is 100%; the response_format parameter is fully documented in the schema with its enum and a clear description. The tool description adds no additional parameter information, so the baseline of 3 is appropriate.

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 uses a specific verb and resource: 'Fetch the signed-in Dare account's current credit balance.' It clearly identifies the operation and the target, and the tool is easily distinguished from siblings like dare_estimate_cost or dare_list_generations.

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 explicitly says when to use it: 'Use before a large batch to confirm there is enough headroom.' It provides clear context for invocation, though it does not name alternatives or exclusions, which are not really needed given the tool's unique purpose.

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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