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endConversation

Terminates a conversation by saving the assistant’s final message, logging a milestone, and recording the episode. Simplifies data logging and ensures structured closure for AI assistant interactions on Cursor10x MCP.

Instructions

Ends a conversation by storing the assistant message, recording a milestone, and logging an episode in one operation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesContent of the assistant's final message
importanceNoImportance level (low, medium, high)medium
metadataNoOptional metadata
milestone_descriptionYesDescription of what was accomplished
milestone_titleYesTitle of the milestone to record
Behavior2/5

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

With no annotations provided, the description carries full burden of behavioral disclosure. While it mentions three operations performed, it doesn't describe what 'logging an episode' entails, whether this operation is reversible, what permissions might be required, or how errors are handled. For a tool that appears to perform multiple write operations, this is insufficient behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the main purpose and then lists the three operations performed. Every word earns its place with no redundancy or unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 5 parameters (3 required), no annotations, and no output schema, the description provides adequate purpose clarity but lacks sufficient behavioral context. It doesn't explain what happens after the conversation ends, what 'logging an episode' means, or what the tool returns. The combination of multiple operations without behavioral details creates gaps in understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. The baseline of 3 is appropriate when the schema does the heavy lifting for parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Ends a conversation') and lists the three operations performed (storing assistant message, recording milestone, logging episode). It distinguishes this tool from siblings like storeAssistantMessage, storeMilestone, and recordEpisode by combining these functions into one operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this tool should be used at the conclusion of a conversation to wrap up multiple tasks simultaneously. It doesn't explicitly state when NOT to use it or name specific alternatives, but the context suggests it's for finalizing conversations rather than intermediate steps.

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

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