Skip to main content
Glama
ms-methos

jsonfabrica-mcp-server

Create a JsonFabrica sequence

jsonfabrica_create_sequence

Create a durable named sequence for numbers, strings, or UUIDs, then reference it in template bodies using createSeq()/getSeq() to generate reproducible synthetic data.

Instructions

Calls POST /v1/sequences. Creates a durable named sequence (number/string/uuid), referenced from template bodies via createSeq()/getSeq()-style functions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
stepNo
typeYes
startNo

Schema Changelog

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

  1. First observedv0.1.4

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral burden. It does disclose persistence ('durable') and the template-integration behavior, which goes beyond a bare 'create' statement. However, it does not say what happens on duplicate names, whether step/start are honored, or what the response contains.

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 one tightly written sentence that leads with the HTTP method and endpoint, then states what is created and how it is used. There is no filler or repetition of the tool name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given four parameters with zero schema descriptions, no output schema, and no annotations, the description is not complete enough to call the tool with confidence. It communicates the high-level purpose but leaves parameter semantics, error behavior, and return value unspecified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description only loosely maps to the parameters: '(number/string/uuid)' explains the type enum and 'named' implies the name parameter. The optional step and start parameters are not explained at all, and the description fails to compensate for the schema's lack of property documentation.

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 opens with the explicit endpoint 'POST /v1/sequences' and a clear verb-resource pair: 'Creates a durable named sequence'. It also clarifies the sequence's role in templates via createSeq()/getSeq(), which helps distinguish it from sequence management siblings like get, update, or delete.

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 clear context: this tool creates sequences that templates can reference through createSeq()/getSeq()-style functions. It does not explicitly state when not to use it or name alternative tools, but the template-referencing context is enough to signal its primary use case among the many siblings.

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