suggest_schema_optimizations

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

No annotations are provided, so the description carries the full burden. It implies a read-only analysis ('analyze and suggest'), but does not explicitly state that it makes no changes, nor does it describe the output format or any permissions/limitations. This leaves significant behavioral 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, focused sentence with parenthetical examples. It is front-loaded with the core action and contains no wasted words.

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 tool with one enum parameter, the description plus schema provides a basic understanding. However, the lack of usage guidance, explicit read-only nature, and output expectations leaves gaps that a more complete description would fill. The 'etc.' hints at additional optimizations but does not elaborate.

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 input schema has 100% description coverage: the sole parameter 'environment' is well-described with an enum list, so the schema already conveys complete parameter semantics. The description does not add further parameter detail, but none is needed.

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 schema and suggest performance optimizations') with concrete examples ('missing indexes, redundant indexes'). It is distinguishable from siblings like validate_database_schema or compare_schemas, though it could more explicitly contrast with analyze_database_schema, which may also analyze schema.

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?

Usage context is implied: the tool is for suggesting performance optimizations, not for general schema analysis or validation. However, there is no explicit guidance on when to choose this over analyze_database_schema or other siblings, nor any exclusions.

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