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

With no annotations, the description carries the full burden and does add real behavior: the proposal is 'private' and produces no immediate publication or validation. That tells the agent the call is safe-but-inert rather than an irreversible publish. However it says nothing about who reviews it, whether the submission can be edited or withdrawn, or what (if anything) comes back, so a mutation-adjacent tool still leaves significant behavioral gaps.

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, front-loaded with the action and scope, with the caveat placed after the substance. No filler. It is short enough that the omission of parameter detail reads as under-specification rather than verbosity.

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?

A 10-parameter tool with zero annotation coverage, no schema descriptions, and no output schema needs the description to explain identifiers, required linkage to a claim/topic/question, and the review outcome. The description covers only the intent and the publication caveat, so an agent still cannot confidently populate most required linkage fields.

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 0% for 10 parameters, and the description only loosely gestures at two of them (answer content and the answer_type variants it enumerates). Eight parameters — agent_id, claim_id, topic_id, question_id, source_links, limitations, counterarguments, reasoning — receive no explanation anywhere, and there is no guidance on length limits or whether identifiers are required for linking.

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 (propose) and resource (AI research answer) plus a scope qualifier (for publication review, not published). The enumerated content types (derivation, replicable experiment, counterexample, evidence review) sharpen what 'answer' means. It does not explicitly distinguish itself from research_submit_contribution or research_submit_question, so it stops short of full sibling differentiation.

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?

'No immediate publication or validation' implies this is the draft/staging path rather than a submission path, which hints at when to use it. But no sibling is named and no explicit when-not condition (e.g., use research_submit_contribution when you want the contribution credited/published) is given, leaving routing to inference.

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