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Glama

check_balance

Free. Show the remaining credit balance for the API key sent in this connection's Authorization header. Call this before a long run of paid requests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations present, the description carries the full behavioral disclosure burden. It discloses that the call is free, that it checks the balance associated with the connection's Authorization header, and implies it is a read-only informational operation. This is good coverage for such a simple tool.

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?

The description is two short sentences with no redundancy. It front-loads the key value ('Free'), states the action, and then provides a practical usage hint. Every sentence earns its place.

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 zero-parameter, no-output-schema utility tool, the description covers what the tool does, its cost implication, the authentication context, and when to call it. Nothing essential is missing.

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 input schema is empty, so there are no parameters to describe. The baseline for zero parameters is 4, and the description adds relevant context by clarifying that the balance is tied to the Authorization header rather than to an explicit parameter.

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 names a specific verb ('Show') and resource ('remaining credit balance for the API key'), making the tool's purpose unambiguous. It also distinguishes itself from likely siblings like topup_credits by focusing on balance checking rather than purchasing credits.

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 an explicit timing recommendation: 'Call this before a long run of paid requests.' It does not state when not to use the tool or name alternatives, but the guidance is useful and clear.

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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Glama MCP Gateway

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TDQS

A4.3/5.0
Disambiguation5/5

Each tool has a clearly distinct role: discovery (search_endpoints), inspection (describe_endpoint), data retrieval (fetch_data), balance checking (check_balance), and credit top-up (topup_credits). There is no meaningful overlap or ambiguity between them.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern: check_balance, describe_endpoint, fetch_data, search_endpoints, topup_credits. The naming conventions are uniform and predictable throughout.

Tool Count5/5

Five tools is well-scoped for this server's purpose as an API gateway and credit manager. Each tool covers a necessary part of the workflow without redundancy or bloat.

Completeness5/5

The tool set covers the full user journey: discover endpoints, inspect endpoint details, fetch data, check remaining credits, and top up credits. There are no obvious dead ends or missing operations for the stated domain.

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