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jasonwilbur

Cloud Cost MCP

by jasonwilbur

refresh_aws_rds_pricing

Read-onlyIdempotent

Fetch real-time pricing for AWS RDS database instances across multiple regions and engines, including PostgreSQL, MySQL, MariaDB, Oracle, and SQL Server.

Instructions

Fetch real-time AWS RDS database pricing. Returns 353 instance types across multiple database engines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionNoAWS region (default: us-east-1)
engineNoDatabase engine (default: PostgreSQL). Options: PostgreSQL, MySQL, MariaDB, Oracle, SQL Server
maxResultsNoMaximum results to return (default: 100)
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds only 'real-time', which may suggest non-idempotent behavior (different results over time) but does not contradict annotations. It lacks details on rate limits, caching, or data freshness.

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 sentence of 12 words, front-loading the action. Every word adds value, with no redundancy or fluff.

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?

The tool has no output schema, but the description partially compensates by stating the number of instance types and multi-engine support. However, it lacks guidance on differentiating usage from many sibling tools and does not describe output format or structure.

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 coverage is 100%, so all three parameters (region, engine, maxResults) are documented in the schema. The description does not add meaning beyond the schema, but provides context about the result (353 instance types). Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Fetch'), a clear resource ('AWS RDS database pricing'), and provides scope ('real-time', '353 instance types across multiple database engines'). This distinguishes it from siblings like refresh_aws_ec2_pricing or get_aws_lightsail_pricing.

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 description does not explicitly state when to use this tool versus alternatives such as refresh_aws_ec2_pricing for EC2 pricing. Usage is implied by the tool name and description, but no direct guidance or exclusion criteria are provided.

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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