Skip to main content
Glama

generate_aibom

Generates an AI Bill of Materials (AIBOM) from a project path, documenting AI components to satisfy AI supply chain governance standards.

Instructions

Generate an AI Bill of Materials (AIBOM) conforming to AI supply chain governance standards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectPathYesPath to target project
Behavior1/5

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 'conforming to standards' but no side effects, output location, required project structure, or any other behavioral traits. This is a significant gap for a generation tool.

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 concise sentence that front-loads the core action and resource. There is no redundancy or fluff, but it omits essential behavioral details, leaving it slightly under-specified for such an important tool.

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?

The tool has no output schema and no annotations, so the description should explain return values and side effects. It does not mention what the generated AIBOM contains, where it is written, or any prerequisites, making the tool behaviorally incomplete.

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?

The input schema already documents the only parameter (projectPath) with a description, achieving 100% coverage. The tool description adds no parameter-level meaning beyond what the schema provides, so the baseline of 3 applies.

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 identifies a specific verb ('Generate') and resource ('AI Bill of Materials'), and adds a compliance context ('conforming to AI supply chain governance standards'). However, it does not explicitly distinguish this tool from siblings mcp_scan and mcp_verify, so it misses full sibling differentiation.

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, nor any exclusions or prerequisites. It simply states what the tool does, leaving the agent without decision context relative to sibling tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tonysheesh/mcp-shield-pro'

If you have feedback or need assistance with the MCP directory API, please join our Discord server