get_suggestions

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

No annotations are provided, so the description must carry the burden. It does not disclose that the tool may use AI via the 'useAi' parameter, nor does it mention read-only behavior or side effects. The description is minimal on behavioral context.

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 clear sentence, concise and front-loaded with the key action. However, it could be slightly more structured for complex use. Efficient but minimal.

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?

The description lacks context about default behavior (when both url and raindropId are null), the role of the 'useAi' parameter, and the nature of the output. An output schema exists but is not described; the description should at least hint at what is returned. Incomplete for a tool with AI integration.

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 100%, so baseline is 3. The description adds some meaning by linking 'URL' and 'existing bookmark' to the parameters, but it does not add significant detail beyond the schema descriptions. Meets the baseline.

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 verb 'Get suggestions' and the resource 'tags and collections for a specific URL or existing bookmark.' It distinguishes from sibling tool 'suggest_tags' which likely only returns tag suggestions, making it specific.

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 when to use the tool (when suggestions for both tags and collections are needed), but it does not explicitly state when not to use it or mention alternatives like 'suggest_tags.' Lacks explicit exclusions.

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