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Compare Cloud Costs MCP Server

compare_cloud_pricing

Query and compare compute, database, serverless, storage, and AI pricing across AWS, Azure, GCP, Oracle, DigitalOcean, Alibaba, and Cloudflare by region, provider, and specs.

Instructions

Query and compare multi-cloud compute, database, and serverless pricing across AWS, Azure, Google Cloud, Oracle, DigitalOcean, Alibaba, and Cloudflare.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionNoTarget deployment geography or region (e.g. us-east-1, eastus, us-central1, sa-east-1)
categoryYesProduct category: vm, database, serverless, storage, ai, networking, etc.
min_vcpuNoMinimum required vCPUs for instance configurations
providerNoFilter by provider ID: aws, azure, gcp, oracle, digitalocean, alibaba, cloudflare
min_ram_gbNoMinimum required RAM memory in Gigabytes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full burden, yet it only implies read-only behavior via "query" and lists provider coverage — which largely duplicates the provider enum in the schema. It says nothing about pricing freshness/currency, whether prices are list vs. discounted, regional caveats, or rate limits, all of which materially affect trust in pricing results.

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?

One sentence, zero filler, front-loaded with the action and scope. Nothing in it is redundant padding.

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?

With full schema coverage and no output schema, the minimum bar is met, but an agent still lacks information about return shape (normalized per-hour price? per-provider records?) and data provenance/freshness. For a comparison tool that feeds downstream decisions, that is a meaningful gap.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-level nuance beyond echoing the category and provider lists already present in the schema enums, and does not explain how filters combine (e.g., whether min_vcpu/min_ram_gb apply only to vm/gpu categories).

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 gives a specific verb pair ("query and compare") and resource (multi-cloud pricing), and enumerates the covered providers, so the agent knows exactly what domain this covers versus siblings like search_ai_models or estimate_workload_architecture. Minor deduction because the stated scope ("compute, database, and serverless") understates the category enum, which also includes storage, ai, gpu, containers, and app-hosting.

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?

Usage is implied by "compare" — you call it when you need cross-provider price data — but there is no explicit when-to-use, when-not-to-use, or routing guidance relative to the three sibling tools. It does not say, for example, whether to use this before or instead of estimate_workload_architecture.

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