record_transfer_result

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says the tool records a result, which implies a write/persist operation, but it does not disclose whether the record overwrites existing data, whether it is idempotent, what side effects occur, or what the response looks like. This is a meaningful gap for a data-recording tool.

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?

The description is a single sentence with no filler or repetition. The main action is front-loaded, and the transfer_type clarification is placed efficiently in a second clause. While it is short, conciseness itself is excellent; every word contributes meaning.

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 tool with no output schema and no annotations, this description is under-specified. It does not explain the relationship between transfer probes and recording results, what score values are valid, how optional fields like request_id or task_context are used, or what happens after recording. An agent would need to infer workflow context from sibling names like generate_transfer_probe and get_review_state.

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%, so the description must compensate, but it only adds meaning to one parameter: transfer_type is clarified as 'near/variation/far/integrated.' The other seven parameters—learner_id, node_id, score, result, request_id, session_id, and task_context—receive no semantic elaboration beyond their property names, and the meaning of score is not explained.

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 clear verb-resource relationship: 'Record a transfer probe result.' This unambiguously identifies the action and object, and the mention of transfer_type values helps scope the tool. However, it does not explicitly distinguish itself from siblings like generate_transfer_probe or save_diagnostic_result, 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 usage guidance is provided. The description does not state when to call this tool versus alternatives, nor does it mention prerequisites such as having previously generated a transfer probe or having a learner_id and node_id available. The verb 'record' implies a post-generation workflow, but this is not made explicit.

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