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Bark MCP Server and API by Cotlet

Check credit balance in Bark

bark_check_credit_balance
Read-onlyIdempotent

Check credit balance in the user's own Bark account from ChatGPT, Claude or any AI agent. Returns how to do it in Bark step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Bark Cloud Browser. Bark's official API: Bark has no public API for professionals (checked 11 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "bark_check_credit_balance"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description reinforces this with 'opens nothing by itself', which tells the agent no navigation or side effects occur. It also adds the important external context that Bark has no public API for professionals, explaining why browser automation is required — genuine value beyond the annotations, though login-state or failure behavior is not covered.

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 content is front-loaded with the purpose and the no-side-effect clarification, then the execution path, then the API note. Three dense sentences with no filler, though the parenthetical '(checked 11 Oct 2026)' and the model-name list add minor noise.

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?

With no output schema, the description carries the burden of describing the return value, and it does so adequately ('how to do it in Bark step by step (screens, buttons, fields)'). For a zero-parameter, read-only guidance tool this is close to complete; only the handoff conditions to the browser tools and failure cases are unstated.

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 takes zero parameters, so the baseline of 4 applies and there is nothing for the description to disambiguate. The description correctly implies no input is required.

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 names a specific verb and resource (check credit balance in the user's Bark account) and crucially clarifies that the tool returns step-by-step instructions rather than the balance itself, which corrects the misleading name/title. It does not distinguish itself from the sibling cotlet_balance or cotlet_app_guide, so an agent must infer the boundary.

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

Usage Guidelines3/5

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

It gives a clear follow-up path: read the steps here, then execute them with the cotlet_browser_* tools in the Bark Cloud Browser. That is useful sequencing guidance, but there is no explicit statement of when to choose this over cotlet_balance or cotlet_app_guide, and no prerequisites such as the user needing to be logged in.

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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