recommend_improvements

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

With no annotations, the description must disclose behavioral traits, but it only adds that the tool is 'based on real failure data' (a data source) without mentioning read-only behavior, side effects, auth requirements, or return format. This is a minimal disclosure beyond the bare purpose.

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 very short (two sentences) and front-loaded, but it is under-specified. It prioritizes conciseness over necessary detail, leaving out essential usage and parameter context, so it is not appropriately sized for the tool's complexity.

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 no output schema and no annotations, the description is incomplete. It does not explain what the recommendations look like, how 'hours' affects results, or how this tool fits into the broader workflow alongside siblings. The agent would need more information to use it confidently.

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 coverage is 0% and the description provides no meaning for the 'agent_id' and 'hours' parameters. The tool's behavior cannot be correctly invoked without understanding what these fields do, and the description does not compensate at all.

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 uses a specific verb ('Give') and a concrete resource ('actionable recommendations to improve reliability'), clearly distinguishing it from siblings like analyze_failures (analysis) and get_reliability_score (scoring).

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?

No explicit guidance on when to use this tool versus alternatives like analyze_failures or generate_audit_report. The phrase 'Based on real failure data' implies a prerequisite but does not state it clearly or mention alternatives.

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