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timps-swarm

timps-swarm

by Sandeeprdy1729
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

timps_indiehacker_agent

Creates India go-to-market plans with INR pricing tiers, Razorpay integration, and GST invoice generation.

Instructions

India GTM plan: INR pricing tiers, Razorpay integration, GST invoice generation.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "timps_indiehacker_agent"
  }
}

Input Schema

NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.2.1

TDQS

C2.6/5.0
Behavior2/5

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

There are no annotations, so the description must carry the burden of explaining behavior. It does not state whether the agent produces a plan, performs setup steps, computes pricing, generates invoices, or takes actions such as installing dependencies or creating files. The observable behavior remains largely opaque.

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?

The description is a single, compact phrase with no filler words. It front-loads the central purpose and lists concrete focus areas efficiently. It is terse but not wordy; the main weakness is under-specification, not lack of conciseness.

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 no annotations, no output schema, and only generic free-text parameters, the description does not sufficiently clarify expected deliverables, tool boundaries, or behavior. While an agent could infer a GTM planning scope, it gets no indication of what the agent will actually return or how it should behave.

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

Parameters3/5

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

The schema fully describes both parameters (`request` and `language`), so the description does not need to repeat them. However, the description also adds no extra semantic nuance beyond the schema, such as expected formats for the request or how the language parameter influences outputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a clear domain—India GTM planning—with specific elements like INR pricing, Razorpay, and GST invoicing. However, it lacks an explicit verb or action (e.g., 'creates', 'generates', 'advises'), so it reads more like a topic tag than a precise tool purpose.

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?

No guidance is provided about when to choose this tool over alternatives, such as timps_gst_compliance, timps_upi_agent, or timps_monetization_agent. The intended use case is implied by the name and description, but there are no explicit usage conditions or exclusions.

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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