Evaluate outcome and tool usage

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

The description adds one genuinely non-obvious rule beyond the annotations: task success is never inferred from tool calls alone, only from a user-supplied outcome. That meaningfully shapes how the agent should populate the outcome argument. However, annotations declare readOnlyHint=false, implying the call has side effects, and the description says nothing about what is written or returned; combined with no output schema, the behavioral picture is incomplete.

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?

Two tight sentences with the evaluative intent front-loaded and the key constraint second. No padding or redundancy. It is efficient, but efficiency is not offsetting for the missing detail elsewhere.

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 six-parameter tool with no output schema and low schema coverage, the definition says far too little: the return shape of the 'metrics', the relationship between executed and recommended tools, and any side effects are all unstated. The one rule it does state is valuable, but a large share of what an agent needs to call this correctly is absent.

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 only 33% — task_id, executed_tools, recommended_tools, and user_reported_outcome carry no schema descriptions. The description partially clarifies the outcome parameter's semantics (success requires a user-supplied outcome), but says nothing about what executed_tools versus recommended_tools mean or how they should be formatted. With such a large coverage gap, the description should compensate and does not.

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 gives a verb and object ("Report objective tool-usage metrics"), but "metrics" and "explicit limitations" are vague about what is actually produced or evaluated. It does not distinguish this from sibling tools such as systemone_audit_execution or systemone_analyze_task, which sound closely related. The title helps somewhat, but an agent reading only the description would be unsure how this differs from an execution audit.

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?

There is no explicit when-to-use guidance, no prerequisites, and no mention of alternatives among the seven sibling tools. The statement about success only being reported when the user supplied an outcome is a behavioral rule, not a usage trigger. The agent must infer that this tool is for post-execution evaluation.

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