analyze_design_references

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

With no annotations, the description carries the transparency burden. It discloses browser automation and screenshot behavior for URLs, and lists extraction outputs. However, it omits potential costs (e.g., processing time), return format, and full lifecycle implications (e.g., global context update). Partial but adequate.

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?

Two sentences that are front-loaded: first defines core function, second adds cross-reference analysis. No redundancy, every word adds value. Excellent structure.

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?

For a tool with 4 parameters (all optional), nested objects, and no output schema, the description covers core extraction and cross-reference logic. Missing output format and global context behavior, but still mostly complete given the complexity.

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 baseline is 3. The description adds context (e.g., 'browser automation + screenshots' for URLs) but does not significantly enhance understanding beyond individual parameter descriptions. No extra syntax or format details provided.

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 analyzes design references from URLs and/or images, extracting specific design elements (colors, typography, layout patterns, UI components). It also mentions identifying common patterns across multiple references, providing a specific verb and resource that distinguishes it from sibling tools like analyze_component_library or fetch_design_inspiration.

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 implies use cases (analyzing design references) but does not explicitly state when to use this tool versus alternatives. It lacks exclusions or sister tool references, leaving the agent to infer context despite sibling tools existing.

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