Ai Component Inventory

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

Annotations declare readOnlyHint=true, and the description consistently indicates a read-only scanning operation (no modification). It adds behavioral context by specifying what is scanned (SDKs, frameworks, databases, etc.) and the output aim (enterprise AI inventory and ML-BOM review). This goes beyond the annotation to clarify the scope, but does not detail potential performance limits or dependency handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that clearly states the purpose and output. It is concise with no superfluous information, earning its place efficiently.

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

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

Given the tool has four parameters and no output schema, the description adequately covers the main purpose and output value. It states what is scanned and the type of evidence produced, but does not detail the response format for different format options (summary, json, cyclonedx). However, this is acceptable since the enum provides options. The description is mostly complete for an inventory tool.

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

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

Schema description coverage is 100%, so the input schema already documents all four parameters (rootDir, format, maxFiles, includeSnippets). The description adds no additional parameter-level meaning beyond the schema, meeting the baseline expectation. No parameter overload or special constraints are explained further.

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

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

Description explicitly states the tool scans a project for AI/ML provider SDKs, agent frameworks, vector databases, Vertex/Gemini/Dialogflow CX usage, and model artifacts. The verb 'Scan' and specific resource 'project' are clear. Unlike sibling tools (e.g., security_scan, search_thumbgate), this tool has a distinct focus on AI component inventory, making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool vs alternatives or provide exclusion criteria. While the purpose is clear, there is no guidance on when not to use it (e.g., for general dependency scanning) or mention of alternative tools. Usage is implied but not explicit.

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