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krzko

Google Cloud MCP Server

by krzko

Detect Cost Anomalies

gcp-billing-detect-anomalies

Identify unusual cost patterns and spending anomalies in Google Cloud billing data by comparing recent costs against historical trends.

Instructions

Detect unusual cost patterns and spending anomalies in Google Cloud billing data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
billingAccountNameYesBilling account name (e.g., 'billingAccounts/123456-789ABC-DEF012')
lookbackDaysNoNumber of days to look back for comparison (7-90)
thresholdPercentageNoPercentage threshold for anomaly detection (10-500%)
projectIdNoOptional project ID to filter anomalies
Behavior2/5

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

No annotations are provided, so the description must convey behavioral traits. It does not disclose whether the tool is read-only, what side effects exist, or any authorization requirements. The description is insufficient to inform an agent about operational implications.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but lacks structure. There is no use of bullet points, sections, or front-loaded key information. It meets minimum readability but is not optimally organized.

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?

With no output schema and no annotations, the description fails to explain what the tool returns, how anomalies are defined, or any constraints. The description is minimal and does not provide enough context for an agent to use the tool effectively.

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%, meaning all four parameters have descriptions. The tool description does not add any parameter-specific context beyond the schema. Baseline is 3 as the schema already handles parameter semantics adequately.

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 uses a specific verb 'Detect' and identifies the resource as 'unusual cost patterns and spending anomalies in Google Cloud billing data'. It clearly distinguishes from sibling tools like 'gcp-billing-analyse-costs' and 'gcp-billing-cost-recommendations' which focus on analysis and recommendations.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention exclusions, prerequisites, or scenarios where other tools might be more appropriate. Usage context is entirely implied.

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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