Log Task Insight

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 mentions that insights 'drive improvements,' implying persistence, but it doesn't disclose permissions, reversibility, whether it appends or overwrites, or what the response looks like. For a write operation, this is a significant 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 concise and front-loaded with the core action. The three sentences are purposeful, and the examples are valuable. It could be slightly tighter, but it's efficient and well-structured.

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?

The tool has 7 parameters and no output schema, but the schema covers all parameters. The description gives valuable context about why logging matters and what kinds of insights to record. However, it doesn't address relation to sibling tools like resolve_insight, potential failure modes, or return values, leaving some gaps for an agent.

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%, so the baseline is 3. The description provides examples of insight content ('partnership allocation not supported') that illustrate the 'insight' parameter, but it doesn't go beyond the schema to explain parameter relationships or edge cases. It neither compensates nor detracts, so a 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 opens with 'Record what was learned while performing a task,' which is a specific verb+resource combination. It then clarifies the tool's unique scope—tracking capability gaps, poor scenarios, and patterns—distinguishing it from siblings like log_research and log_correction. The examples further reinforce its purpose.

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 explicitly states when to use this tool: 'Use this to track gaps in the agent's capabilities, scenarios it hasn't handled well, or patterns it should recognize in the future.' This provides clear context, though it doesn't name alternatives or state when not to use it, so it stops short of a 5.

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