finalize_thinking

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

With no annotations, the description must fully disclose behavior. It mentions recording an answer and refreshing artifacts, but does not explain side effects, overwriting behavior, or what 'refresh the artifacts' entails. This leaves some gaps for an agent reasoning about state changes.

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 extremely concise with just two sentences. Every phrase adds value: the action, the scope (session), the secondary effect (refresh artifacts), and the usage context. No unnecessary words.

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?

The description covers the primary action and usage context, but lacks details on return values, confirmation, or error conditions. Given no output schema and no annotations, the agent may need more information to handle edge cases or verify success.

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%, and the description adds no semantic detail for 'sessionId' or 'answer'. While the parameter names are somewhat self-explanatory, the description should clarify the expected format or constraints for 'answer', especially given no enums or additional schema guidance.

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 clearly states the tool records the final synthesized answer and refreshes artifacts, using specific verbs and resources. It distinguishes 'finalize' from sibling tools like 'add_thought' and 'revise_step' by framing it as the final action after a conclusion is reached.

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 description gives specific timing guidance: 'Call after the graph supports a conclusion.' While it doesn't explicitly list when not to use it, this instruction clearly differentiates it from more intermediate siblings like 'add_thought' or 'begin_thinking'.

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