Run JavaScript deobfuscation pipeline

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

With no annotations, the description carries the transparency burden. It discloses that the pipeline is 'conservative' and that control-flow deflattening is 'optional,' which adds some behavioral insight, but it omits details about return behavior, side effects, or failure modes.

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 a single, front-loaded sentence with no filler. Every word adds meaning, efficiently stating the tool's purpose and key behavioral attributes.

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?

The description covers the core purpose and partially hints at parameter behavior, but lacks usage guidelines, explicit parameter mapping, and return-value details. Given there is no output schema, the description alone doesn't fully support an agent in predicting the tool's behavior in all contexts.

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 0%, so the description must elaborate on parameters. 'Optional control-flow deflattening' obliquely suggests the aggressive parameter but does not explicitly name it or explain how it affects the pipeline. The code parameter is not described beyond the schema's type and constraints.

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 lists specific operations (constant folding, dead-branch removal, string-array decoding, control-flow deflattening) and clearly differentiates this pipeline from sibling tools that focus on individual steps.

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 pipeline versus the individual analysis tools, and no mention of alternatives or exclusion criteria. The 'optional' qualifier hints at parameter behavior but does not provide usage direction.

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