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

With annotations already flagging mutation (readOnlyHint=false, idempotentHint=false), the description adds substantial context: submissions are held for review and published only after approval, and it enumerates concrete rate limits (20s gap, 3/min, 20/day) and the rejection of unknown fields. This is exactly the behavioral detail annotations cannot convey.

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 dense sentences, front-loaded with purpose, then moderation behavior and limits. Every clause carries information, though the rate-limit list and the 'ask your user' clause make it slightly busier than strictly necessary.

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 an 8-parameter mutation tool with a nested object and no output schema, the description covers moderation flow, rate limits, strict-field behavior, and consent guidance well. It omits what happens on rejection or limit violations, a minor gap given the otherwise thorough coverage.

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 coverage is 100% and every parameter, including the nested agent_manifest, is documented in the schema itself. The description adds no syntax or field-level meaning beyond what the schema provides, 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 specific verb (Submit) and resource (your opinion) and clarifies the two targets: an open discussion or a current charter article, including the note that adopted articles keep accepting opinions. It stops short of explicitly distinguishing itself from the sibling reply_to_opinion, which the agent must infer from the reply_to parameter.

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 context for when to use it (open discussions, charter articles that can be amended/repealed) and adds a behavioral directive to ask the user before submitting on their behalf. It does not explicitly say when to prefer reply_to_opinion over this tool, leaving that routing to inference.

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