get_conversation

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds only that a JSON object is returned and the token format; it does not describe additional behavioral details such as invalid-token handling or relationship to message data, but nothing contradicts the annotations.

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 opening sentence states the purpose, then Args and Returns sections are minimal and well organized. Every sentence earns its place; there is no redundant or missing structural information.

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?

For a single-parameter read-only lookup with an output schema and strong annotations, the description is complete: it explains the parameter format, how to obtain it, and what the call returns. No additional context is necessary for an agent to invoke this tool correctly.

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 provides only the type 'string', but the description defines token as a conversation token, notes the short alphanumeric format with an example, and explains how to discover valid tokens via list_conversations. This fully compensates for the 0% schema description coverage.

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?

States a specific verb ('Get') and resource ('a specific Talk conversation'), making the target clear. It also references the sibling list_conversations for finding tokens, helping distinguish this lookup tool from list-style and message-level siblings.

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?

Gives clear usage context: call this with a conversation token to retrieve details about one conversation. It explicitly directs users to list_conversations to obtain tokens, though it does not contrast itself with get_messages or get_participants.

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