finalize_conversation

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Complete the conversation' and 'get final analysis results', suggesting a read operation that might finalize or close a session, but it doesn't specify if this is destructive, requires permissions, or details the output format. For a tool with no annotations, this is a significant gap in transparency.

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 concise with a single sentence that front-loads the core action. It wastes no words, but could be slightly improved by structuring it to highlight key aspects like the tool's role among siblings. Overall, it's efficient and to the point.

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?

Given the complexity implied by 'final analysis results' and the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'analysis results' include, how the conversation is 'completed', or any behavioral traits. For a tool that seems to produce outputs, this leaves critical gaps for the agent.

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?

The schema description coverage is 100%, with clear descriptions for both parameters in the input schema. The description adds no additional meaning beyond the schema, such as explaining the context of 'session_id' or the implications of 'summary_format' choices. With high schema coverage, the baseline score of 3 is appropriate as the schema handles parameter documentation adequately.

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 the tool's purpose with 'Complete the conversation and get final analysis results', which includes a verb ('Complete') and resource ('conversation'), but it's vague about what 'complete' entails and doesn't distinguish it from siblings like 'get_conversation_status' or 'escalate_analysis'. It lacks specificity in how it differs from other conversation-related tools.

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 explicit guidance is provided on when to use this tool versus alternatives. The description implies usage at the end of a conversation, but it doesn't mention prerequisites, exclusions, or compare it to siblings like 'continue_conversation' or 'get_conversation_status'. This leaves the agent without clear direction on tool selection.

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