suggest_indexes

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

No annotations are provided, so the description must fully disclose behavior. It mentions 'analyze' and 'recommendations' but does not state whether the tool is read-only, requires special permissions, or has performance implications (e.g., scanning query statistics). The side effects or limitations are unclear.

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 sentence, concise and front-loaded. It avoids unnecessary words. However, it could be slightly more structured (e.g., separating inputs and outputs) but still earns a high score for efficiency.

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 complexity of index recommendation (no output schema), the description is incomplete. It does not explain what the output looks like (e.g., a list of suggested indexes with columns and estimated impact) or how it differs from closely related sibling tools like list_foreign_keys or get_slow_queries.

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 the baseline is 3. The tool description does not add additional meaning beyond the parameter descriptions in the schema (e.g., 'table' is optional, 'schema' defaults to 'public'). No extra semantics are provided.

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 action ('Analyze... to provide index recommendations'), specifies the inputs (query patterns, scan ratios, missing foreign key indexes), and distinguishes from siblings like list_indexes (which lists existing indexes) and get_slow_queries (which retrieves slow queries).

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 explicit guidance on when to use this tool versus alternatives. It does not mention conditions like 'when optimizing query performance' or exclude cases like 'when only current indexes are needed' (use list_indexes instead).

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