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c3-yang-song

infra-advisor-mcp

by c3-yang-song

generate_full_report

Analyze any AI task to produce a complete infrastructure report including model recommendations, inference/training costs, cloud vs on-prem TCO, and maintenance costs.

Instructions

Generate a comprehensive markdown infrastructure report for any task.

This is the main entry point. Runs all tools in sequence and returns a complete report covering: task analysis, model recommendations, inference costs, training costs (if relevant), cloud vs on-prem TCO, and maintenance costs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_descriptionYesPlain English description of the task or use case.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided; description discloses sequential execution and report coverage, but omits potential side effects or execution time.

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?

Two sentences, no wasted words; first sentence states action, second elaborates on content.

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?

Complete enough given output schema exists; covers purpose, scope, and composition; could mention it is a heavy operation.

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% and parameter description in schema already clarifies 'Plain English description'; tool description adds no extra semantic value.

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?

Description states 'Generate a comprehensive markdown infrastructure report' and clarifies it runs all tools in sequence, distinguishing it from sibling tools that are individual components.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly labeled 'main entry point', implying use for full reports, but does not explicitly state when to avoid it, e.g., for partial analysis.

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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