memory_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. 'Get' implies a read-only, non-destructive operation, which is helpful, but the description does not disclose what kind of statistics are returned or how this behaves relative to memory retrieval. The output schema may cover return shape, but the description itself adds limited 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 two short sentences and front-loads the core action. The second sentence adds a usage cue, though it is somewhat generic and could be sharpened. No wasted words, but the second sentence is marginal.

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 simple zero-parameter tool with an output schema, the description is mostly complete. It tells the agent why to call it and what it does. The main gap is the lack of explicit guidance on how this differs from recall_memories, which could lead to the wrong choice when the agent wants actual memory contents.

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 parameter semantics are not a challenge. The schema already covers 100% of the parameter surface, and the description correctly avoids inventing parameter details. Baseline 4 is appropriate for a no-parameter tool.

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 names a specific verb and resource ('Get statistics about stored memories') and implies a distinction from content retrieval tools like recall_memories. However, it stops short of explicitly differentiating itself from siblings: 'understand what's in your knowledge base' could be interpreted as retrieving actual memory contents rather than aggregate stats.

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?

It gives a clear calling context: use this when you need an understanding of the knowledge base. But it does not state when not to use it or name alternatives such as recall_memories for detailed content, leaving some routing judgment to the agent.

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