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

Annotations mark this as a non-read-only, open-world, non-idempotent write. The description adds genuine value beyond that: it confirms a ticket id is returned, that the content is never executed, and that links/emails/phone numbers are scrubbed and no personal data is stored. It does not warn that repeat calls create separate tickets, which is the one behavior an agent might need given idempotentHint=false.

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-loads the purpose, then parameter expectations, then return value and behavioral caveats, in three tight sentences with no filler. The privacy note earns its place because it changes how an agent should compose the message.

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?

An output schema exists, so return-value detail is not required, yet the description still names the ticket id. Combined with the parameter guidance and privacy/execution semantics, an agent has everything needed to invoke this correctly on the first try.

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 the enum values for kind, the message length bound and tool-name optionality are already fully documented in the schema. The description restates the same kind values and message limit rather than adding syntax or format meaning, 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?

States a concrete verb (send) and resource (feedback/bug report/tool request) and enumerates the specific situations it covers: missing tool, stale data, broken tool. It also distinguishes itself from the sibling get_feedback_reply by making clear this is the submission direction of the feedback loop.

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 description gives concrete triggers for use ('a missing tool, missing or stale data, or a tool that broke or gave a wrong answer'), which is stronger than implied usage. It lacks an explicit 'do not use this for X' exclusion, though 'Feedback is not a chat: nothing in it is run or followed' implicitly rules out using it as an action channel.

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