generate_performance_reports

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It explains that the tool analyzes historical metrics and generates reports, but it does not state whether the operation is read-only, whether reports are persisted or returned, what permissions are required, or whether there are cost/rate-limit considerations.

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 short and front-loaded: the first sentence states the core action, and the second sentence adds useful detail about the analysis scope. There is little waste, though the second sentence partially restates the first and could be tightened.

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?

An output schema exists and the input schema is fully documented, so return values and parameter meanings do not need to be explained. However, with no annotations and many sibling tools, the description should provide more usage routing and operational context to be complete for an agent choosing among metrics collection, reporting, and analysis tools.

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 schema description coverage is 100%, so both parameters (days and service_name) are fully documented in the input schema. The description adds no parameter-specific detail, but the baseline of 3 applies when the schema already provides high 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 states a clear verb and resource: generate performance reports with automated analysis. It further specifies that the reports analyze historical metrics for insights, trends, and optimization recommendations, which is more specific than the tool name alone. However, it does not explicitly distinguish this from siblings like collect_performance_metrics or analyze_mcp_interactions.

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 is implied: the tool is for producing performance reports and analysis from historical metrics, rather than collecting raw metrics or exporting data. But the description gives no explicit when-to-use guidance, no when-not conditions, and does not name alternative sibling tools such as collect_performance_metrics or analyze_mcp_interactions.

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