get_optimization_insights

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

With no annotations provided, the description must carry the full burden, but it only states a generic outcome. It does not disclose whether the operation is read-only, what permissions are needed, or any side effects. The parameter-level note about analysis_period is in the schema, not the main description, so it doesn't count here.

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 main description is a single concise sentence with no fluff, and the schema's detailed parameter descriptions are well-structured. It earns high marks for brevity, though the generic wording makes it slightly less impactful than it could be.

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 the lack of an output schema and the presence of several closely related sibling tools, the description is incomplete. It fails to explain what kind of 'insights' are returned, how they differ from get_index_recommendations or get_performance_stats, or any practical usage context. The parameter-level details help but do not compensate for this gap.

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 description coverage is 100%, so both parameters are already well documented in the input schema. The main description adds no extra meaning beyond what the schema provides, which aligns with the baseline of 3 for high schema coverage.

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 uses a clear verb ('Get') and resource ('database optimization insights and health analysis'), so an agent understands what the tool does. However, it does not distinguish this tool from siblings like get_index_recommendations or analyze_query_performance, so it lacks differentiation.

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 provides no guidance on when to use this tool versus alternatives. No context, no exclusions, and no mention of sibling tools, leaving the agent to guess based on the generic wording.

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