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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description appropriately spends its words elsewhere. It adds real behavioral facts the annotations do not: results are ordered newest-first and truncated to 20, and outcomes fall into fixed buckets (better / no clear change / worse with before-and-after, skipped, dismissed, not enough data). It does not say what an empty history looks like, but with no output schema this is a modest gap.

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 sentence that front-loads the essential facts (what, ordering, limit) before the outcome taxonomy. It is dense but every clause carries information; the only cost is domain jargon like "the leak," which reads oddly without context and slightly obscures the opening.

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?

For a zero-parameter read tool with rich annotations and no output schema, the description supplies the missing return-value context: ordering, the 20-item cap, and the possible outcome categories. Only the shape of an individual entry (which fields accompany each outcome) and the empty-state behavior remain unstated.

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 zero parameters, so per the baseline this scores 4; there is no parameter meaning the description needs to supply. The description correctly avoids inventing filtering options that the schema does not support.

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 states the resource clearly ("Past constraints"), the ordering and cap ("newest first (up to 20)"), and enumerates the content it returns (the leak, fix tried, outcome). It implies contrast with get_current_constraint via "Past" but never names that sibling, so an agent must infer the boundary rather than being told.

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 or when-not-to-use guidance, and no alternatives are named among siblings like get_current_constraint or get_status. Usage is only implied by the words "Past constraints" and the outcome vocabulary (e.g. "skipped as already done"), which suggests consulting prior attempts, but the agent must construct that inference itself.

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