get_bookmark_stats

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does reveal the return format (JSON string with specific fields) but does not explicitly state that the operation is read-only or safe, nor does it mention any error scenarios. However, the 'get' verb implies a non-mutating operation, and the return description is helpful.

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 brief, uses clear structure, and every word adds value—purpose then return format. No filler or repetition.

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 zero-parameter tool with a straightforward output, the description fully conveys what the agent can expect: a JSON string with total, unread, archived, shared, and tag statistics. This is sufficient for correct invocation and interpretation, especially given the output schema context.

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?

The tool takes zero parameters, so the schema is empty. According to the baseline for zero-parameter tools, the description need not elaborate on parameters; it instead enhances understanding by listing the returned statistical fields.

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 opening line clearly states the tool's function: 'Get statistics about the bookmark collection.' This is a specific verb (get) and resource (bookmark stats), distinguishing it from siblings like get_bookmarks or get_bookmark by focusing on aggregate statistics rather than individual bookmarks.

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 its usage as a summary tool but does not explicitly specify when to choose it over alternatives such as get_bookmarks or search_bookmarks. There is no mention of exclusions or alternative recommendations, so the guidance is only implicit.

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