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teralynk

teralynk-mcp-server

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get_conversation

Retrieve a specific AI chat conversation by ID, including full message history, to resume context from where it stopped.

Instructions

Get a specific AI chat conversation by ID, including full message history. Useful for resuming context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conversationIdYesConversation ID (from list_conversations)
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It indicates a read operation ('Get') and mentions the return includes full message history, but fails to mention permissions, rate limits, error conditions (e.g., invalid ID), or that it is read-only.

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 two sentences, front-loaded with the core action, and contains no extraneous words. Every sentence earns its place.

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

Completeness4/5

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

For a simple retrieval tool with one parameter and no output schema, the description covers the essential purpose and return value. It lacks details on error handling and read-only nature, but is largely sufficient.

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 coverage is 100% and the parameter description already explains the conversationId comes from list_conversations. The tool description adds minimal value beyond the schema ('by ID'), so baseline score of 3 is appropriate.

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 explicitly states the tool retrieves a specific conversation by ID with full message history, clearly distinguishing it from list_conversations (which lists conversations). The verb 'Get' and resource 'AI chat conversation' are specific.

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

Usage Guidelines3/5

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

The description mentions 'Useful for resuming context' implying when to use, but does not explicitly state when not to use or contrast with siblings like list_conversations. No exclusions or alternatives are given.

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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