Skip to main content
Glama
MARCCHERGGI

indie-metrics-mcp

by MARCCHERGGI

Revenue Forecast

get_revenue_forecast

Predict future revenue using recent 3-month trends. Get current MRR, projected monthly and annual revenue, growth direction, and confidence level.

Instructions

Predict future revenue based on recent trends. Shows current MRR, projected monthly and annual revenue, growth trend direction, and confidence level. Uses 3-month rolling analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries full burden. It discloses key outputs but omits limitations like data freshness, assumptions, or that it's a statistical model, leaving some behavioral ambiguity.

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 concise with two sentences, front-loading the purpose and efficiently covering key details without fluff.

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?

Given no output schema, the description explains return values well but could be more specific about format (e.g., numeric vs. string for trend direction).

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?

No parameters exist, so baseline is 4. The description adds value by detailing what the tool returns (MRR, projections, trend, confidence), which compensates for the lack of output schema.

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 clearly states the tool predicts future revenue based on trends, listing specific outputs like MRR, projected revenue, growth direction, and confidence. It distinguishes itself from siblings that summarize current revenue or other metrics.

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 description implies use for recent trend analysis via '3-month rolling analysis' but lacks explicit guidance on when not to use it or alternatives among siblings.

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

Install Server

Other Tools

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/MARCCHERGGI/indie-metrics-mcp'

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