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anmolratna

FinOps AI Copilot MCP Server

by anmolratna

monthlyAnalytics

Fetch high-level monthly summaries including volume, transaction count, and success rate to evaluate current performance.

Instructions

Fetch high level summaries (volume, transaction count, success rate) for the current month.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are present, so the description must carry the behavioral burden. It discloses that this is a read-style summary fetch and enumerates the returned metrics, which is helpful. It does not clarify read-only guarantees, month-boundary definition, timezone handling, or aggregation caveats.

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?

A single sentence that puts the verb and resource first, then lists the concrete metrics, with no filler or redundancy. Every word adds useful information.

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

Completeness3/5

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

For a parameterless tool, an agent has everything needed to invoke it, and the description names the expected result fields. However, with no output schema and no annotations, 'volume' is ambiguous, the exact boundary of the current month is unspecified, and the sibling analytics tools share overlapping aggregate-summary semantics.

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 100% schema coverage, so the input schema fully documents the call signature. The description adds context about the returned metrics, but no parameter explanations are needed; this matches the 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?

States a clear action ('Fetch'), a resource type ('high level summaries'), the included metrics, and a temporal scope ('current month'). This distinguishes it from daily/weekly siblings by time window, but it does not explicitly name an alternative or specify whether the summaries are merchant-wide or global.

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 temporal qualifier implies it should be used when current-month aggregate metrics are needed, which is useful context. However, there is no explicit when-to-use or when-not-to-use guidance, and among the many sibling analytics tools the description does not direct the agent to an alternative.

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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