Get conversation
get_conversationRead pseudonymous messages, lifecycle state, and contact-exchange state.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| conversationId | Yes | ||
| conversationToken | Yes |
get_conversationRead pseudonymous messages, lifecycle state, and contact-exchange state.
| Name | Required | Description | Default |
|---|---|---|---|
| conversationId | Yes | ||
| conversationToken | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds value by naming what the response contains (messages, lifecycle state, contact-exchange state), which matters since there is no output schema, but says nothing about permissions, scoping, or result size.
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?
One short sentence with no filler, and the return-content list is front-loaded. However, the brevity comes at the cost of under-specification rather than efficiency — the single sentence omits the resource identity and parameter meaning.
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?
With 0% schema coverage, two required parameters, and no output schema, the description would need to explain identifier semantics and the shape of returned state. It covers only the return-content categories and leaves the identifiers and access conditions unexplained.
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%, so neither of the two required parameters is documented anywhere. The description does not explain what conversationId is versus conversationToken, why both are required, or how to obtain them, leaving a critical gap for a mandatory-2-param call.
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 gives a specific verb ('Read') and enumerates the content returned (messages, lifecycle state, contact-exchange state), which does hint at what the call yields. But it never says the tool retrieves a single conversation identified by the supplied identifiers, and 'pseudonymous messages' is opaque phrasing that leaves the actual resource ambiguous against siblings like get_contact_exchange and mark_conversation_read.
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?
There is no guidance on when to use this versus get_contact_exchange, mark_conversation_read, or the conversation lifecycle tools, and no mention of prerequisites such as needing a valid conversation token. The agent must infer the use case entirely from the tool name.
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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