suggest_index_optimizations

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

No annotations are provided, so the description must disclose behavioral traits. It suggests 'suggest' (advisory, likely non-destructive) but does not explicitly state read-only behavior, permission requirements, potential performance impact of the analysis, or what the return value looks like. The lack of such information leaves significant ambiguity.

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 a single, front-loaded sentence with no redundant text. It conveys the action, target (indexes), and categories of improvements efficiently.

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?

With no output schema and no annotations, the description should clarify what the tool returns and any implications (e.g., analysis scope). It mentions the index categories but not how recommendations are ranked, whether they are actionable, or how they relate to other tools. The description is minimally viable but not fully self-contained.

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% (both topN and schema are described with defaults). The description adds no additional parameter semantics beyond what the schema already provides. Baseline 3 applies because the schema does the heavy lifting.

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 a specific action ('Analyze and suggest index improvements') and specifies the types of indexes addressed (missing, unused, fragmented). This distinguishes it from sibling tools like get_table_indexes (which lists existing indexes) and analyze_query_performance (which focuses on query-level tuning).

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?

There is no explicit guidance on when to use this tool vs. alternatives, nor any mention of conditions or exclusions. The purpose implies a use case (performance tuning), but no sibling tool is referenced or contrasted, leaving the agent without clear decision-making criteria.

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