derivation_resume

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It states that the tool resumes a session and returns session status, but does not disclose whether this is a state-changing operation, what happens if the session does not exist or is already active, or any side effects. This lack of detail is a significant transparency gap.

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 description is highly concise, consisting of a brief purpose statement, a usage condition, and an Args/Returns list. Every sentence serves a purpose, and the key information is front-loaded. It is well-structured for an AI agent to quickly parse and understand.

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 tool with only one parameter and an output schema, the description covers the basics: purpose, when to use, parameter, and return value. However, it lacks important context such as prerequisites (e.g., the session must exist and be paused), error conditions, and what 'resume' actually entails. This makes it minimally viable but with clear gaps.

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%, and the description only says 'session_id: 會話 ID' (session ID), which adds almost no meaning beyond the parameter name and title 'Session Id'. It does not explain where to obtain the session ID, its format, or any constraints. This fails to compensate for the complete absence of schema-level parameter descriptions.

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 clearly states the tool's function: 'Resume paused derivation session' (恢復暫停的推導會話). This is a specific verb+resource construction that distinguishes it from sibling tools like derivation_start (start new) and derivation_status (check status). The wording is unambiguous and directly tied to the tool's name.

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 provides explicit guidance: 'If the derivation process is interrupted, you can use this tool to resume' (如果推導過程中斷，可以用這個工具恢復). This tells the agent exactly when to use the tool, which is a clear context. It does not explicitly mention alternatives, but the condition is specific enough to differentiate from starting a new session.

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