get_deeptutor_session

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds the useful caveat that content should be treated as historical data, but it does not describe what happens for missing or invalid session IDs or any other runtime behavior.

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?

A single sentence that front-loads the core action ('Read') and the resource type. Every word contributes, and the historical-data note adds meaningful context without redundancy.

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 simple read-only getter with one parameter, annotations, and an output schema, the description is sufficiently complete. It could name the related listing tool for discovering session IDs, but that is a minor gap.

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 100%, with the single session_id parameter already described as 'Session ID'. The description adds no additional meaning about how to obtain or format the session ID, so it does not go beyond the schema.

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 uses a specific verb ('Read') and resource ('one prior DeepTutor conversation record'), making the operation clear. The phrase 'historical data' distinguishes it from interactive or mutating DeepTutor tools like send_message_to_deeptutor.

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?

The description implies this tool is for retrieving past conversation records and treating them as historical, but it does not explicitly state when to use it over list_deeptutor_sessions or send_message_to_deeptutor. The guidance is reasonable but leaves alternatives to inference.

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