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

Annotations already declare `readOnlyHint=false`, `destructiveHint=false`, `openWorldHint=false`, and `idempotentHint=false`. The description adds mostly internal component names rather than behavioral context such as side effects, resource cost, permissions, or what state is changed by a pulse or benchmark.

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 front-loaded sentence with the two modes clear. The long parenthetical of architecture terms adds cognitive load without helping an agent decide or invoke the tool correctly.

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?

This is a complex, multi-mode engine call with no output schema and three optional parameters. The description does not explain default behavior, expected outputs or side effects, or when each mode is appropriate, leaving important gaps for correct invocation.

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 100%, so the schema already documents all three parameters. The description only adds a little semantic context for `benchmark=true`, while `digest` and `inquiry` are left to the schema; baseline 3 is appropriate when the schema does the heavy lifting.

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 action (execute a pulse or run a benchmark) and distinguishes the two modes via `benchmark=true`. However, the purpose is obscured by dense internal architecture jargon, and it does not clarify what a 'pulse' actually produces or how this differs from sibling tools beyond mode selection.

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 implies the default behavior is a pulse and that `benchmark=true` selects the benchmark mode. It provides no explicit when-to-use guidance, no alternatives among siblings, and no prerequisites or default-parameter behavior.

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