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Glama

check_setup

Confirm your API key, connection, and spend approval flow so paid video and image generations cannot run without your consent.

Instructions

Check the API key, the connection, and how spend approvals will reach the user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose the diagnostic scope (API key validity, connectivity, approval-delivery routing), which implies a non-mutating operation. It stops short of saying whether it is purely read-only, whether it requires credentials already present, or how failures are surfaced, so the disclosure is partial.

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?

A single compact sentence with the diagnostic target listed up front and no filler. It is as short as it can be while still naming the three things checked.

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?

An output schema exists, so return values need not be described, and the tool is a parameterless read-style check. The description covers the subjects of the check adequately; only the absence of trigger conditions and failure semantics keeps it from being fully complete.

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 schema takes zero parameters, so there is nothing for the description to disambiguate. Baseline 4 applies, and the description correctly does not invent arguments.

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?

States a specific verb (check) and enumerates three concrete targets: API key, connection, and spend-approval delivery path. That tells an agent this is a setup/connectivity diagnostic rather than a data-fetching tool. It does not, however, explicitly distinguish itself from the sibling spend_status, which also concerns spend.

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?

There is no statement of when to run this versus alternatives such as spend_status or preapprove_spend, nor any prerequisites or post-conditions. Usage can only be inferred loosely from the word 'check' and the setup-oriented subject matter.

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