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petjal

oklo-aurora-mcp

by petjal

evaluate_defense_microgrid_autonomy

Assess forward operating base power resilience, daily diesel fuel displacement, and logistics convoy reduction for microreactor-powered defense microgrids over a chosen operating period.

Instructions

Evaluates forward operating military base power resilience, daily diesel fuel displacement, and logistics convoy reduction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operating_daysNo
microreactor_power_mweNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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?

No annotations are provided, so the description carries the full behavioral burden and delivers little: it does not disclose underlying model assumptions, whether results are deterministic or approximate, units/fidelity of the metrics, or any auth/rate constraints. The single sentence describes subject matter, not behavior.

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 zero filler — appropriate length. It is efficient, though the brevity comes at the cost of the missing detail captured in other dimensions.

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?

An output schema exists, so return values need no explanation, but the definition is still thin: no annotations, no parameter documentation, and no indication of the evaluation methodology or when the tool is appropriate. For a physics/economics evaluation tool, this leaves significant gaps.

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 0% and the description never mentions the two inputs (operating_days, microreactor_power_mwe) or their defaults. The topic sentence loosely implies a time horizon and reactor sizing, but there is no explanation of units or how changing these values affects the evaluation.

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?

The description names a specific verb ('Evaluates') and three concrete outputs: base power resilience, daily diesel fuel displacement, and logistics convoy reduction. This is far more informative than a tautology, though it does not distinguish itself explicitly from near-neighbors like evaluate_datacenter_microgrid_ramp.

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 statement of when to use this tool versus the many sibling evaluation tools, no prerequisites, and no scenario framing beyond the topic itself. An agent must infer applicability purely from the subject matter.

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