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Nityaflow

How to design a Nityaflow workflow

get_workflow_guide
Read-onlyIdempotent

Returns Nityaflow's workflow design guide: the JSON shape of a workflow, the design rules, and every step type with its settings (schedules, webhooks, WhatsApp, Google Sheets, Gmail, databases, HTTP requests, code, AI replies, checks, approvals, receipts, GST credit matching and client document chasing). For automations, workflows, bots and reminders for businesses, clinics and CA firms, especially in India.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so the safety profile is covered. The description usefully discloses that the payload is a static guide covering schema shape, rules and step-type settings, but adds nothing on size, structure or how to apply the returned guide.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core statement, which is good, but the second sentence piles an eighteen-item parenthetical list of step types into one run-on clause. The enumeration carries some informational value yet is heavier than needed for tool selection.

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 must convey what comes back, and it does: the workflow JSON shape, design rules and the full step-type catalogue with settings. An agent knows what it will receive, though the guide's format/verbosity is 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?

Zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-arg tool applies. The text correctly implies a single static response rather than a parameterized query.

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 and resource: 'Returns Nityaflow's workflow design guide,' then enumerates the guide's contents (JSON shape, design rules, step types). An agent can tell this is a documentation-retrieval tool, distinct from action siblings like create_workflow_draft or verify_receipt, though it never names the boundary explicitly.

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?

The trailing sentence ('For automations, workflows, bots and reminders for businesses, clinics and CA firms, especially in India') describes the audience/domain but not the call condition. It never says to read this before calling create_workflow_draft, nor any when-not-to-use case, leaving the sequencing with the sibling tools to inference.

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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