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end_conversation

Terminate an active conversation by providing its unique identifier to close the session and free up resources.

Instructions

End an active conversation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conversation_idYesUnique identifier for the conversation

Implementation Reference

  • Handler function that executes the end_conversation tool. Takes a conversation_id argument and makes a POST request to /conversations/{conversation_id}/end endpoint, returning the response data as JSON.
    private async endConversation(args: any) {
      const { conversation_id } = args;
      const response = await this.axiosInstance.post(`/conversations/${conversation_id}/end`);
      return {
        content: [{
          type: 'text',
          text: JSON.stringify(response.data, null, 2),
        }],
      };
    }
  • src/index.ts:415-427 (registration)
    Registration of the end_conversation tool with its name, description, and input schema defining the required conversation_id parameter.
      name: 'end_conversation',
      description: 'End an active conversation',
      inputSchema: {
        type: 'object',
        properties: {
          conversation_id: {
            type: 'string',
            description: 'Unique identifier for the conversation',
          },
        },
        required: ['conversation_id'],
      },
    },
  • Switch case dispatcher that routes end_conversation tool calls to the endConversation handler method.
    case 'end_conversation':
      return await this.endConversation(request.params.arguments);
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'End' suggests a mutation operation that changes conversation state, but it doesn't specify whether this is reversible, what 'ended' means (e.g., archived, closed, terminated), or any side effects. It lacks details on permissions, rate limits, or error conditions.

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 with zero wasted words. It's front-loaded with the core action and resource, making it immediately understandable. Every word earns its place, achieving optimal conciseness.

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

Completeness2/5

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

Given the tool's complexity (a mutation operation with no annotations and no output schema), the description is incomplete. It doesn't explain what 'ending' entails, the result of the operation, or error handling. For a tool that likely changes system state, more context is needed to guide an agent effectively.

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?

The input schema has 100% description coverage, with the single parameter 'conversation_id' well-documented in the schema. The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline of 3 for high schema coverage without extra value.

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

Purpose4/5

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

The description 'End an active conversation' clearly states the action (end) and target resource (active conversation). It distinguishes from siblings like delete_conversation by implying a state transition rather than permanent deletion, though it doesn't explicitly contrast them. The purpose is specific but could be more differentiated.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like delete_conversation or other conversation-related tools. It doesn't mention prerequisites (e.g., conversation must be active), exclusions, or contextual cues. Usage is implied but not articulated.

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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