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

Beyond the read-only, idempotent, non-destructive annotations, the description discloses that execution occurs in a sandboxed deterministic in-browser QuickJS-ng WebAssembly VM, runs client-side with zero PII and zero network, and renders an interactive widget. These are substantive behavioral details not present in the annotations.

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 front-loaded with the core action and scope, and each sentence carries relevant information about environment, limitations, or output discovery. It is dense but not padded, though the long opening sentence could be split for easier parsing.

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 one optional parameter, no output schema, and strong annotation coverage, the description is largely complete: it explains the execution model, demo-only scope, output_payload behavior, and points to describe_tool for the output schema. It could still say more about how to discover which demo kernels exist, but no critical invocation detail is missing.

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 input schema has 100% description coverage for the single optional inputs object, so the schema already carries parameter meaning. The description adds only that inputs are applied via the AIN Bridge prefill, which is useful but does not go materially beyond the schema's own description.

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/resource pair: it runs a ChainGraph decision kernel's compute function and returns output_payload. It also distinguishes the demo kernel scope from the full catalog and names the execution environment, so an agent can identify exactly what this tool does.

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?

It explicitly says 'Demo kernel set only' and directs users to the worker's compute kernels for the full catalog, giving a clear use condition and alternative. The alternative is not named as a specific sibling tool, which keeps it from being maximally explicit.

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