Skip to main content
Glama
ms-methos

jsonfabrica-mcp-server

Get JsonFabrica tenant usage

jsonfabrica_get_usage

Get current API usage totals for your tenant, including total usage and timestamp, to monitor consumption.

Instructions

Calls GET /v1/usage. Returns { tenantId, usageTotal, asOf } for the configured API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv0.1.4

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It states the HTTP method (GET, implying read-only), the exact endpoint, the returned fields, and that it applies to the configured API key. It does not discuss rate limits or error behavior, but for a zero-parameter read-only endpoint this is reasonably transparent.

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?

A single sentence that front-loads the HTTP call, states the return shape, and clarifies authentication context. Every element earns its place with no wasted words.

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 parameterless GET endpoint with no output schema, the description is complete: it gives the endpoint, response shape, and auth context. Nothing critical is missing for an agent to invoke it correctly.

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?

There are zero parameters and schema description coverage is 100%, so there is nothing for the description to add semantically. The description appropriately focuses on the endpoint and response instead of parameters.

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-resource pair ('Calls GET /v1/usage') and specifies what it returns (`{ tenantId, usageTotal, asOf }`). This clearly differentiates it from sibling tools like health or whoami because it is the only tool targeting tenant usage.

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 clearly signals the tool's purpose: retrieving tenant usage for the configured API key. It does not explicitly mention when not to use it or name alternatives, but the endpoint and return shape make the intended context obvious.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ms-methos/jsonfabrica-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server