get_archive_stats

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose the return structure including a success flag, and implies the archive must already be indexed. However, it does not explicitly state that the operation is non-mutating, nor does it mention any potential side effects. Still, the detailed return list provides useful transparency about what the tool yields.

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 and appropriately sized. It opens with a one-sentence purpose, adds a brief contextual overview, then lists the return fields in a clean bulleted format. Every part serves a purpose, and the return field list is essential given the lack of an output schema. It is front-loaded with the most important information first.

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 that the tool has no parameters and no output schema, the description fully compensates by enumerating all return fields with their meanings. It also clarifies the scope ('indexed photo archive') and provides enough context to understand what the tool does and returns. For a simple stats query, this is complete.

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 has zero parameters, so the input schema is empty. Per the rubric, a 0-parameter tool gets a baseline of 4. The description does not need to add parameter semantics, and it appropriately focuses on the output. No parameter documentation is required.

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 begins with a clear statement: 'Get statistics about the indexed photo archive.' It specifies the resource (photo archive) and the action (get statistics), and lists the specific types of statistics (total count, date range, storage size, distribution by camera and folder). This clearly distinguishes it from sibling tools like search_images (searching) and get_image_info (single image details).

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 clearly implies when to use this tool: when you need an overview of the entire photo archive. It states it 'Provides an overview of your photo collection'. However, it does not explicitly mention alternatives or exclusions (e.g., 'for details on a single image, use get_image_info'), so it lacks explicit when-not guidance.

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