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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuine value with the "most recent first" ordering and the actor dimension, but says nothing about how far back history goes or what happens when history is truncated.

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?

Two short sentences, front-loaded with the payload description before the usage hint, with no redundant wording. Slightly terse for the usage half but nothing wasted.

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 simple three-parameter read tool with full annotations and no output schema, the description conveys the shape of the return (change entries with actor, newest first), which is the main thing an agent needs. A note on history depth or truncation would close the remaining gap.

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 description coverage is 100%, so job key, project key, and the limit (up to 50, default 20) are already documented in the schema. The description adds no additional semantics such as whether limit counts change events or versions, so the baseline 3 applies.

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?

Names the resource (one job) and the exact content returned (what changed and who changed it, most recent first), which is a specific verb+resource statement. It implicitly separates itself from get_job by framing the result as change history rather than current state, but never names an alternative explicitly.

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?

"Use it to find out why a job looks the way it does before changing it" gives a clear trigger condition tied to a real workflow (pre-mutation investigation). It offers no explicit exclusions, e.g. it does not say to use get_job for current field values or what_happened for broader event streams.

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