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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered and the description does not need to repeat it. The description adds genuine context by stating the payload contains both dated rationale and measured leak locations, but says nothing about volume, ordering, or response format. With a zero-argument read tool and annotations carrying the operational semantics, 3 is fair.

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 no filler, and the 'plus' clause signals the second half of the payload up front. The parenthetical example list is slightly loose but earns its place by making the abstract phrase 'design decision' concrete.

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 output schema, the description carries the burden of explaining what comes back, and it does so at a useful level: decisions plus dates plus reasons, and measured leak sites. It does not describe the shape or size of the result, which is the remaining gap for a tool with no schema to fall back on.

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 tool takes no parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The parenthetical examples describe returned content rather than inputs, which is appropriate here.

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 says exactly what is returned: every design decision of the bot, each with its date and rationale (naming examples like 'never sell at a loss' and 'depth budget'), plus the measured locations of profit leakage. That is a specific resource with concrete content, so it reads clearly against siblings like lookback_calculator or simulate_ladder. It stops short of explicitly contrasting itself with any sibling, which keeps it at 4 rather than 5.

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 explicit when-to-use statement and no mention of alternatives; guidance is only implied by the content listing (consult this when you need the rationale behind the bot's rules or evidence of where profit was lost). An agent can infer the use case, but nothing tells it when this tool is the wrong choice versus, say, get_summary.

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