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OCI Pricing MCP Server — BR fork

calculate_database_cost

Read-onlyIdempotent

Estimate monthly Oracle Cloud database costs from engine type, compute units, and storage size, with optional BYOL and memory inputs.

Instructions

Calculate database cost for a specific configuration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesDatabase type
memoryGBNoPostgreSQL only; RAM in GB (default computeUnits*16)
storageGBYes
licenseTypeNo
computeUnitsYesECPUs or OCPUs
hoursPerMonthNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.4.0

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds nothing beyond that—no note on determinism, currency/region assumptions, or whether pricing is live versus static—so it contributes no incremental behavioral context.

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 front-loaded sentence with no waste. It is efficient, though its brevity borders on under-specification rather than true conciseness.

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

Completeness2/5

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

For a 6-parameter tool with only 50% schema coverage, no output schema, and no usage guidance, the description is too thin. An agent lacks the information needed to know when to call it, what defaults apply, or what the result represents.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50%, and the description supplies no parameter meaning at all. Undocumented fields like storageGB, licenseType, and hoursPerMonth (including defaults and valid units) are left ambiguous, so the description fails to compensate for the coverage gap.

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+resource ('calculate database cost') and implies scoping to a configuration. However, it does not differentiate itself from close siblings like calculate_monthly_cost, calculate_multicloud_database_cost, or quick_estimate, so an agent cannot route confidently among them from the text alone.

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 prerequisites, and no mention of alternatives such as quick_estimate or compare_database_options. The agent must infer call context purely from the name.

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