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egoughnour
by egoughnour

firewall_setup_ollama

Install and configure Ollama on macOS to enable vector embedding capabilities for the Code Firewall MCP server's security analysis system.

Instructions

Install Ollama via Homebrew (macOS).

Args: install: Install Ollama via Homebrew start_service: Start Ollama as a background service pull_model: Pull the embedding model (nomic-embed-text) model: Model to pull (default: nomic-embed-text)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
installNo
start_serviceNo
pull_modelNo
modelNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions installation and service management actions but lacks critical details like required permissions, side effects (e.g., system changes), error handling, or confirmation of success/failure states, which are essential for a setup tool.

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 efficiently structured with a clear opening sentence followed by a bullet-point list of parameters, each with brief explanations. Every sentence earns its place without redundancy, making it easy to scan and understand.

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

Completeness3/5

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

Given the tool's complexity (setup operations with multiple steps), no annotations, and an output schema (which should cover return values), the description is moderately complete. It outlines the main actions but misses operational details like platform limitations beyond macOS, error scenarios, or integration with sibling tools, leaving gaps for an AI agent.

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 description adds meaningful context for all four parameters beyond the input schema, which has 0% description coverage. It explains what each boolean flag does (install, start_service, pull_model) and provides a default value for the model parameter, compensating well for the schema's lack of documentation.

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 clearly states the tool installs Ollama via Homebrew on macOS, specifying the verb (install), resource (Ollama), and platform constraint. However, it doesn't explicitly differentiate from its sibling 'firewall_setup_ollama_direct', which appears to serve a similar purpose, preventing a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives like 'firewall_setup_ollama_direct' or other setup methods. It lists parameters but doesn't explain prerequisites, dependencies, or typical workflows, leaving usage context unclear.

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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