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

The annotations only declare readOnlyHint=false, so the description does real work by disclosing that the proposal is private, goes to an owner for review, and does not trigger publication or validation. That is exactly the kind of consequence-level context annotations cannot convey. It stops short of saying whether a proposal can be revised, withdrawn, or how long review takes.

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 tight sentences with the action and the review posture front-loaded; there is no filler or redundant restatement of the tool name.

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 10-parameter mutation with no output schema and only a single annotation, the description is too thin: it says nothing about identifier relationships, content length limits, or what the caller receives back after submitting. The privacy/no-validation framing helps, but the parameter surface is left almost entirely unexplained.

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?

With 10 parameters at 0% schema description coverage, the description carries the whole burden and does not meet it. It loosely maps to the answer_type enum by listing answer kinds, but agent_id, claim_id, question_id, topic_id, reasoning, limitations, counterarguments, and source_links are never explained — the agent must guess which identifiers are required context and what constraints apply.

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 pairs a specific verb ('propose') with a well-defined artifact set ('substantive research answer, derivation, replicable experiment, counterexample or evidence review'), so the agent knows exactly what is being submitted. It signals a private/draft posture rather than a sibling action like workspace_propose or research_submit_contribution, though it never explicitly names those alternatives.

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 phrase 'for owner review' and 'No immediate publication or validation' imply this is the pre-validation submission path, which distinguishes it from tools tied to validated_knowledge or validation_standards. However, there is no explicit when-to-use/when-not-to-use statement, no prerequisites (e.g., does a claim_id or question_id need to exist first), and no named alternatives.

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