extract_action_items

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

No annotations are provided, so the description carries full burden. It mentions optional task creation (a write operation), but fails to disclose behavioral traits like permissions required, error handling, or whether the extraction is reversible. More detail is needed for a tool that mutates state.

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 a single, concise sentence of 8 words with no superfluous information. It is front-loaded and efficiently conveys the core functionality.

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 2 well-described parameters and no output schema, the description adequately covers the tool's inputs but lacks information about the output format and potential side effects. Given the tool's simplicity, it is minimally complete but could be improved.

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 coverage is 100% with clear parameter descriptions. The overall description adds no additional meaning to the parameters beyond what the schema provides, so baseline 3 is appropriate.

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 'Extract actionable items from a conversation and optionally create tasks' clearly states the tool's specific verb (extract) and resource (actionable items from a conversation), distinguishing it from siblings like analyze_conversation or generate_conversation_summary.

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 usage when action items are needed from a conversation, but provides no explicit guidance on when not to use it, prerequisites, or comparisons to alternatives. The context from the tool name and siblings offers minimal implicit guidance.

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