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system_resource_check

Check system resources and compatibility to verify if your hardware meets requirements for running local AI models with Ollama.

Instructions

Check system resources and compatibility

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full burden but only states the action without behavioral details. It doesn't disclose whether this is read-only, what specific resources are checked (e.g., CPU, memory, disk), compatibility with what systems, or any side effects like performance impact. This leaves significant gaps in understanding the tool's 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?

The description is a single, efficient phrase that is front-loaded with the core action. However, it's slightly under-specified, as it could benefit from a bit more detail without becoming verbose, but it avoids unnecessary words.

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 no annotations, no output schema, and a simple input schema with 0 parameters, the description is incomplete. It doesn't explain what the check entails, what output to expect, or how it differs from sibling tools, making it inadequate for an agent to use effectively without additional context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description doesn't add parameter semantics, but this is acceptable given the lack of parameters, aligning with the baseline for zero parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Check system resources and compatibility' restates the tool name 'system_resource_check' with minimal elaboration, making it tautological. It specifies the action ('check') and target ('system resources and compatibility'), but lacks detail on what resources or compatibility aspects are examined, and doesn't differentiate from siblings like 'ollama_health_check' or 'test_model_responsiveness'.

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 provided on when to use this tool versus alternatives. It doesn't mention prerequisites, context (e.g., before model operations), or exclusions, leaving the agent to infer usage from the name alone among siblings like health checks or model testing tools.

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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