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nymrel
by nymrel

nymrel_local_forge

Check local GPU and Ollama availability, route coding tasks across three compute tiers, and track cumulative cloud API dollar savings based on token usage.

Instructions

Probes local GPU / Ollama status, routes tasks across 3 tiers (Luna Local -> Terra Balanced -> Sol Frontier), and tracks cumulative cloud API dollar savings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNoOperation to performstatus
taskDescriptionNoDescription of the coding task to evaluate for tier routing
tokensProcessedNoToken count for savings calculation
Behavior2/5

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

No annotations are provided, so the description must carry the behavioral disclosure. It indicates probing, routing, and tracking, but does not clarify side effects (e.g., whether routing changes state, whether external calls to Ollama happen, or what the economics action implies). The absence of side-effect and reversible info is a significant gap.

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?

The description is a single, dense sentence that lists the three capabilities without unnecessary words. It is front-loaded with the most important action ('probes') and uses the en dash to separate tiers. It could be better structured with separate clauses per action, but it remains concise and informative.

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?

Given the tool has three distinct operations (status, route, economics) and no output schema, the description fails to explain what each action returns, what inputs are required for each, and any dependencies (e.g., local Ollama must be running). Without additional context on the return contract and per-action behavior, the agent lacks essential information for reliable invocation.

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 covers 100% of parameter descriptions, giving the agent the baseline. The description does not add further semantic context beyond naming the three tiers accord. It does not explain how tokensProcessed or taskDescription interact with the routing logic, but since the schema already provides adequate descriptions, a baseline score of 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 explicitly states the tool's three functions: probing local GPU/Ollama status, routing tasks across three named tiers, and tracking cumulative cloud savings. This clearly distinguishes its purpose from the sibling tools.

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?

No guidance is given on when to use this tool versus its 12 siblings. The description implies local-first scenarios but does not state explicit conditions, prerequisites, or expected selections. An agent has to infer usage from the 'route' and 'probe' language.

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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