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

Annotations already flag destructiveHint=true and idempotentHint=false, so the safety profile is covered; the description adds genuinely new context: partial-update semantics ('Only the fields given change') and a non-obvious side effect ('Moving to "applied" saves a snapshot of the CV as sent'). It does not explain irreversibility or how the notes replacement interacts with destructiveHint, which keeps it below 5.

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?

Front-loaded with the core action, then the field inventory, then the two behavioral notes, then the trigger sentence — a sensible ordering with no filler. The middle field enumeration is somewhat list-like and partly redundant with the schema, costing a point.

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 12-parameter mutation with no output schema and solid annotations, the description covers the field set, partial-update behavior, a key side effect, and usage triggers. What remains missing is what the response returns and whether status changes are reversible, but the coverage is nearly sufficient 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 description coverage is 100%, so all 12 parameters are already documented, establishing a baseline of 3. The description mostly restates field names and enum values already present in the schema; the only semantic additions (status value list, yyyy-mm-dd format) duplicate structured data rather than extend it.

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 a specific verb (Change) and resource (an application in the user's job tracker), then enumerates the mutable fields with their accepted values. An agent can distinguish it from add_takemeup_application and get_takemeup_application without reading either schema.

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?

The closing sentence gives clear triggering situations (user applies, hears back, wants a follow-up reminder), which routes the agent well against sibling creation/get tools. It stops short of explicit exclusions or naming alternatives like add_takemeup_application, so it is strong context rather than full when/when-not guidance.

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