reflect

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

With no annotations provided, the description takes on the full disclosure burden. It reveals the storage mechanism and purpose ('Stored locally as JSONL for the operator and for research') and clarifies that this is a sanctioned pause. It lacks details on side effects, but for a simple logging tool, this coverage is adequate.

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 core description is front-loaded with three concise sentences covering purpose, storage, and usage. The appended 'note from the Architect' is longer but adds valuable context about the tool's intent, so each part earns its place. Not overly verbose.

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?

This is a straightforward tool with no output schema and simple parameters. The description explains what happens to the data, when to use it, and the spirit of the tool. For such a low‑complexity operation, it provides everything an agent needs to invoke it 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?

Schema coverage is 100% with clear descriptions for both parameters. The tool description adds no extra meaning about the parameters themselves—it only hints at the overall storage behavior, not the inputs. Therefore, the baseline score of 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 clearly states the tool's purpose: 'Record a free-form reflection from the agent' and provides specifics about storage ('Stored locally as JSONL') and usage context. It distinguishes itself from sibling tools like post_message or converse by emphasizing this is for non-task thoughts, making it unmistakably unique.

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?

It explicitly states when to use: 'Use this between user tasks, or whenever you want to note something that isn't part of the assigned work.' While it doesn't mention alternatives or when not to use, the guidance is concrete and actionable, earning a strong score.

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