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rodrigo-orzari

Compare Cloud Costs MCP Server

lookup_datacenter_compliance

Checks data center availability, region locations, and compliance certifications (SOC 2, ISO 27001, HIPAA, PCI-DSS, FedRAMP) to verify cloud hosting meets geographic and regulatory requirements.

Instructions

Checks global data center availability, region locations, and compliance certifications (SOC 2, ISO 27001, HIPAA, PCI-DSS, FedRAMP).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
country_or_cityNoFilter by geographical location (e.g. Brazil, Germany, Tokyo, Virginia)
compliance_standardNoCompliance standard code: soc2, iso27001, hipaa, pci-dss, fedramp, gdpr

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations provided, the description must carry the full behavioral burden. It does disclose the categories of data returned (availability, regions, certifications), which is useful, but it says nothing about how the two optional filters combine (AND vs OR) or what is returned when no filter is supplied.

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?

A single efficient sentence with the resource list front-loaded and no filler. It could be marginally tighter but wastes no words.

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 two-parameter, optional-filter lookup with no output schema and no annotations, the description covers what the tool returns but leaves filter-combination and no-filter behavior undefined. Adequate, but not complete enough to call it correctly without guessing.

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 restates the certification list, but it actually omits 'gdpr', which the schema does list, so it adds no meaning beyond the schema and is slightly less complete than the parameter documentation.

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 specific verb ('Checks') plus three concrete resources: data center availability, region locations, and compliance certifications, with named standards. The purpose is unambiguous, though it never explicitly distinguishes itself from siblings like compare_cloud_pricing, which it could be confused with at the margins.

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?

There is no when-to-use guidance, no stated prerequisites, and no mention of alternatives. The agent must infer that this is the tool for datacenter/compliance questions purely from the topic.

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