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

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only computation but never states that it is side-effect free, deterministic, or what the output looks like; it also gives no hint about required inputs 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?

A single front-loaded sentence with zero filler, which is good, but it is undersized for a three-parameter domain tool with no annotations or schema documentation to lean on.

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?

With no annotations, no output schema, 0% parameter documentation, and six ambiguous siblings, the description leaves the agent without the information needed to invoke this tool correctly or confidently.

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?

All three parameters (pipeline_delay, adjustment_time, supply_line_weight) have 0% schema description coverage, and the description never explains what any of them mean or accept. The phrase 'dead-time' is only a loose implicit nod to pipeline_delay, leaving adjustment_time and supply_line_weight entirely 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 verb ('Calculates') and concrete domain outputs ('dead-time linear stability limits, floor margins, and tuned targets'), which is far more informative than a tautology. It does not, however, distinguish this from the six sibling tools (compare, diagnose, optimize, simulate, sweep, model_info), so an agent cannot tell why it should pick stability over, say, diagnose or optimize.

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 when-to-use guidance, no prerequisites, and no mention of any alternative tool. With seven closely named siblings in the namespace, the absence of any routing guidance is a meaningful gap.

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