sbom_skeleton

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

With no annotations provided, the description fully assumes the burden of disclosing behavioral traits. It includes a dedicated section covering side effects (read-only), authentication (none for basic), rate limits (10/day free), error handling (structured objects), idempotency (fully deterministic), and data privacy (no storage). This is comprehensive and model-friendly.

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 well-structured with clear sections (Behavior, When to use, Args, Behavioral Transparency) and front-loads the main purpose. While somewhat verbose, every sentence contributes meaning. It could be slightly more concise, but remains readable and scannable.

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 an output schema exists (context signal), the description does not need to detail return values. It covers error handling, rate limits, auth, and idempotency—sufficient for a 3-parameter tool with one required. The weak parameter descriptions are a minor gap, but overall completeness is adequate.

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 coverage is 0%, so the description must compensate. However, the 'Args' section merely repeats parameter names with generic phrases like 'The product name to analyze or process.' The tool's main description mentions 'comma-separated list or JSON' for components but does not link this to the parameter itself. This adds minimal semantic value beyond the schema.

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?

The description clearly states the tool generates a minimal CycloneDX-style SBOM skeleton for CRA Article 13, distinguishing it from sibling tools like audit_annex_i or classify_product. The verb 'Generate' and specific resource 'SBOM skeleton' leave no ambiguity.

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 includes explicit 'When to use' and 'When NOT to use' sections, guiding the agent to compliance assessment and gap analysis while cautioning against substituting legal advice. However, it lacks explicit differentiation from sibling tools, limiting its helpfulness in tool selection.

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