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

Annotations only give safety hints (readOnly=false, destructive=false, idempotent=false), which is consistent with a write-to-log tool. The description adds non-obvious context the annotations cannot: the report is free, it lands in a log read by a support sweep, and the 'context' field is never used to rank answers — genuinely useful disclosure for an agent deciding whether a report is worth sending.

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?

Three sentences, front-loaded with the action; the enumeration of problem types earns its length by helping the agent recognize a qualifying case. The phrase 'Free, and the fastest way to get a defect fixed' is slightly promotional but still decision-relevant.

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 6-parameter, single-required submit tool with no output schema, the description covers the trigger, the expected content of the report, and the destination of the data. Remaining details (does it return a ticket id, is there a rate limit) are minor and arguably outside scope.

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 schema already explains all six parameters, including the severity enum and the privacy note on 'context'. The only addition is the closing instruction to state expected alongside actual, which loosely ties 'problem' and 'expected' together. Baseline 3 is appropriate.

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?

Opens with a concrete verb+resource ('Report something wrong with a result') and then enumerates the failure classes it accepts — wrong data, broken filter, bad ranking, unreproducible number, useless answer. No sibling tool in the list submits defect feedback, so the agent can place it immediately.

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?

Gives clear trigger conditions ('something wrong with a result', plus the enumerated cases) and a reason to prefer acting now ('fastest way to get a defect fixed'). It stops short of naming an alternative channel or saying when NOT to file (e.g. feature requests, tool-ranking disputes), so it is clear context without explicit exclusions.

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