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

Beyond the annotations, it discloses where the submission goes (directly to the engineering team) and what happens next (roadmap prioritization, and that including contact yields priority notification and custom tier setup). That is real behavioral detail not present in the structured fields. The readOnlyHint=true is slightly at odds with a 'submit' action that presumably creates a record, but since it does not mutate strategy or account state it is not a hard contradiction.

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 sentences, front-loaded with the channel's identity before the examples, with no structural waste. The closing line about roadmap prioritization is mildly promotional but does convey an incentive an agent may pass along to its operator.

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 five-parameter, fully documented, single-purpose submission tool with no output schema, the definition covers what to send, where it goes, and why contact matters. Nothing an agent needs in order to call it correctly is missing.

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% and both enums are fully documented in the schema, so the schema already does the heavy lifting. The description echoes the same examples (ETH/SOL, 1m/1s/tick) without adding format constraints such as a minimum useful level of detail for featureRequest or useCase.

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 a concrete verb and resource: submit feature requests, symbols, timeframes, orderbook depth or execution parameters to the engineering team. This is unmistakably distinct from every sibling, all of which are candle-analysis or backtesting tools, so an agent can route without ambiguity.

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?

It gives clear triggering context by enumerating the kinds of gaps that justify a submission (missing symbols, finer timeframes, orderbook depth, execution params). It stops short of stating when NOT to use it — e.g. that bugs belong in category 'bug_or_discrepancy' rather than a feature request, or that support questions should go elsewhere — 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.