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anmolratna

FinOps AI Copilot MCP Server

by anmolratna

dailySummary

Retrieve today's structured business operations summary, including transaction volumes, success rates, vendor rankings, peak hour, and AI routing recommendations.

Instructions

Retrieve a structured business operations summary for today, including total volume, transaction counts, success rates, top/worst vendors, peak hour, and AI routing recommendations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

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 full burden of behavioral disclosure. It clearly indicates a read-only retrieval action ('Retrieve') and describes the output composition, but it omits any details about data freshness, timezone handling, failure behavior, or what 'AI routing recommendations' entails. The wording is not misleading, but neither is it rich.

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 a single, well-structured sentence with no filler. It front-loads the main purpose ('structured business operations summary for today') and then efficiently enumerates the included metrics, making the scope immediately understandable.

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?

For a zero-parameter aggregation tool, the description does enough to tell an agent what it returns and when it applies. It lacks an output schema and does not clarify the exact shape of the response or edge-case semantics like an empty day, but the invocation surface is trivial and the listed contents provide adequate completeness for selection and use.

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?

The tool has zero parameters and the schema already documents 100% of what is needed. The description reinforces that the tool is a fixed-scope 'today' summary with no user-supplied inputs, which is an appropriate baseline for a parameterless tool.

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?

The description uses a clear verb ('Retrieve') and specifies the resource ('a structured business operations summary for today') plus the exact contents (volume, counts, success rates, vendors, peak hour, AI recommendations). It distinguishes itself from component tools like topVendor, worstVendor, and peakHour by presenting this as an aggregate daily summary, though it could more explicitly differentiate itself from the similar-sounding getDashboardMetrics.

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 phrase 'for today' establishes clear timing context for when this tool should be used, and the listed contents imply a consolidated daily snapshot. However, it never explicitly states when not to use it or names alternatives such as getDashboardMetrics or vendorPerformance, leaving the choice versus siblings 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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