Query Performance Optimizer

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions analysis and suggestion functions but doesn't clarify whether this is a read-only diagnostic tool or if it can implement changes, what permissions are required, whether it modifies data or systems, or what the output format looks like. For a tool with 'optimize' in its name and no annotations, this is a significant gap in transparency.

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 perfectly concise with two sentences that each earn their place. The first sentence establishes the core function, and the second adds valuable detail about automation and specific recommendation types. No wasted words, and the information is front-loaded effectively.

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 tool's complexity (performance optimization with 4 parameters including nested objects), no annotations, and no output schema, the description is moderately complete. It explains what the tool does but lacks details about behavioral aspects, output format, and implementation constraints. For a tool that could potentially have significant system impact, more contextual information would be beneficial.

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 schema already documents all 4 parameters thoroughly. The description doesn't add any parameter-specific details beyond what's in the schema (like explaining how 'optimizationGoals' affect the analysis or what 'executionStats' should contain). The baseline of 3 is appropriate when the schema does the heavy lifting for parameter documentation.

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's purpose with specific verbs ('optimize', 'analyzing', 'suggesting', 'identifies', 'recommends') and resources ('SAP OData query performance', 'execution patterns', 'improvements', 'bottlenecks', 'index strategies'). It distinguishes itself from siblings like 'sap-smart-query' or 'execute-entity-operation' by focusing on performance optimization rather than query execution or building.

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 implies usage context (when dealing with SAP OData query performance issues) but doesn't explicitly state when to use this tool versus alternatives like 'sap-smart-query' for query construction or 'smart-data-analysis' for general analysis. No exclusions or prerequisites are mentioned, leaving some ambiguity about appropriate use cases.

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