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c3-yang-song

infra-advisor-mcp

by c3-yang-song

compare_cloud_vs_onprem

Compare total cost of ownership for GPU clusters across cloud and on-premises deployments. Returns cumulative costs, break-even month, and a recommendation for 1/3/5 year horizons.

Instructions

Compare total cost of ownership: cloud vs on-prem over 1/3/5 year horizons.

Returns cumulative costs, break-even month, and a recommendation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gpu_keyNoGPU type (h100_sxm, a100_80gb_sxm, h200_sxm, rtx_4090, l40s).h100_sxm
gpu_countNoNumber of GPUs in the cluster.
utilizationNoExpected GPU utilization (0.0-1.0). 0.7 = 70%.
preferred_cloudNoCloud provider for comparison (aws, gcp, azure).aws
yearsNoComparison horizon in years.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
gpu_typeYes
gpu_countYes
utilization_pctYes
onprem_capex_usdYes
onprem_monthly_opex_usdYes
cloud_monthly_usdYes
cloud_providerYes
cloud_committed_monthly_usdNo
cloud_committed_termNo
cloud_committed_discount_pctNo
break_even_monthsYes
cumulative_cost_year_1Yes
cumulative_cost_year_3Yes
cumulative_cost_year_5Yes
recommendationYes
onprem_monthly_breakdownYes
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the tool's purpose and return values, but does not mention side effects, authentication needs, rate limits, or data sources. The behavior is clear but not deeply transparent.

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 two concise sentences with no wasted words. It front-loads the core purpose and immediately specifies the return values, making it efficient for agent parsing.

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

Completeness4/5

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

Given the presence of an output schema and fully described parameters, the description is complete enough. It notes the key outputs (cumulative costs, break-even, recommendation). However, it could mention assumptions or data freshness for a slight improvement.

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?

Input schema coverage is 100%, so the schema already provides full parameter descriptions. The tool description adds no extra meaning beyond what the schema offers, thus meeting baseline expectations.

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 clearly states it compares total cost of ownership between cloud and on-prem, over specific horizons (1/3/5 years), and returns cumulative costs, break-even month, and a recommendation. This verb+resource combination is specific and distinguishes it from sibling tools like estimate_inference_cost or estimate_training_cost.

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 implies the tool is used when needing a TCO comparison, but it does not explicitly state when to use or avoid it, nor does it mention alternatives. It lacks when-not-to-use guidance or prerequisites, leaving the agent to infer appropriate context.

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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