store_stats

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

No annotations provided, so the description must carry behavioral transparency. It only states it returns counts. No mention of side effects, data source, performance, or idempotency. Minimal disclosure.

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?

Extremely concise at 6 words. Every word earns its place. Could be slightly improved by specifying the 'store' context, but for a zero-parameter tool it is efficient.

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 no parameters and an output schema, the description need not explain return values. However, with no annotations and several sibling tools, more context about the 'store' would help an agent select this tool correctly. Currently it is minimally viable.

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?

No parameters exist, so the description does not need to add meaning beyond the schema. Baseline for 0 parameters is 4. The description is adequate.

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 returns total and per-category counts. It uses a specific verb ('Return') and noun ('total and per-category counts'), but lacks context about what 'store' refers to. Still, it distinguishes itself from sibling tools like 'by_category' in that it provides both total and per-category counts.

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?

No guidance on when to use this tool versus alternatives like 'by_category' or 'analyze_path'. No context on prerequisites or exclusions. The description gives no usage direction.

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