Think About Collected Information

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

Annotations indicate readOnlyHint=true and destructiveHint=false, so the agent knows this is a safe, non-destructive operation. The description adds context by specifying it's for post-search reflection, which is useful behavioral insight beyond the annotations. However, it doesn't detail aspects like response format or any limitations, keeping it at a moderate score.

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 well-structured: two sentences that efficiently convey purpose and usage guidelines without any wasted words. It's front-loaded with the core action and follows with specific instructions, making it easy to parse and apply.

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?

Given the tool's complexity (low, with 0 parameters), rich annotations (readOnlyHint, destructiveHint), and the presence of an output schema, the description is complete. It adequately explains when and why to use the tool, and the output schema handles return values, so no additional details are necessary.

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?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate here. A baseline of 4 is applied since there are no parameters to document, and the description focuses on usage context instead.

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: to 'think about the collected information and whether it is sufficient and relevant.' It specifies a verb ('think about') and resource ('collected information'), making the action clear. However, it doesn't distinctly differentiate from sibling tools like 'think_about_task_adherence' or 'think_about_whether_you_are_done' beyond the focus on 'collected information,' which keeps it from a perfect score.

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 usage guidelines: it states 'This tool should ALWAYS be called after you have completed a non-trivial sequence of searching steps' and lists examples like 'find_symbol, find_referencing_symbols, search_files_for_pattern, read_file, etc.' This clearly defines when to use it, including context and prerequisites, with no misleading information.

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