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

With no annotations, the description carries the full burden and does add two meaningful facts: the operation costs $3.00 in Base USDC, and 'Artifacts are never executed' (a real safety guarantee). It still omits auth requirements, rate limits, failure behavior, and output format, but the cost and non-execution disclosures are substantive.

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?

It is a single, appropriately short entry front-loaded with the cost, but it is a dense run-on that stacks many buzzword concepts (evidence-bound, bounded, prioritized, retry traps, tool-bounded). Compact, but readability and structure suffer for the amount packed in.

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 complex 8-parameter tool with no annotations, no output schema, and zero schema description coverage, the description is under-specified. It sketches the deliverable packet but leaves parameter usage and required inputs (goal, run_log) unexplained, so an agent lacks what it needs to invoke it correctly.

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% across 8 parameters, so the description must compensate and largely does not. It never mentions goal, run_log, artifact, constraints, artifact_intent, or available_tools; 'Python code or text/config review' only loosely gestures at language/artifact_kind, leaving most parameters unexplained.

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 names a specific deliverable: an 'evidence-bound workflow recovery' packet with code/config review, prioritized fixes, and a next action. This clearly conveys what the tool produces for failed runs. However, differentiation from the sibling recover_workflow is only implied by the 'Premium'/'pro' framing rather than stated.

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 phrase 'failed-run repair' implies the context in which the tool applies, but there is no explicit guidance on when to pick this over the obvious alternative recover_workflow, nor any exclusions or prerequisites. The agent is left to infer the selection criteria from the 'Premium' label alone.

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