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 about when to call it (after searching steps), which is useful behavioral guidance beyond the annotations. However, it doesn't disclose details like what the tool actually does (e.g., returns analysis, triggers internal processing) or any rate limits, leaving some behavioral aspects unclear.

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 two sentences that are front-loaded with the core purpose and followed by specific usage guidelines. Every sentence adds value without redundancy, making it highly concise and well-structured for quick understanding.

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 has 0 parameters, annotations cover safety (read-only, non-destructive), an output schema exists (so return values are documented elsewhere), and the description provides clear usage context, it's mostly complete. However, it could be more explicit about what the tool outputs or how it aids decision-making, slightly reducing completeness.

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 tool has 0 parameters, and schema description coverage is 100%, so there's no need for parameter details in the description. The description appropriately doesn't discuss parameters, which is efficient. A baseline of 4 is applied since no parameters exist, and the description doesn't introduce unnecessary complexity.

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 states the tool is for 'thinking about collected information' and assessing sufficiency/relevance, which gives a general purpose. However, it's somewhat vague about what specific action the tool performs (e.g., does it analyze, summarize, or just prompt reflection?) and doesn't clearly differentiate from sibling tools like 'think_about_task_adherence' or 'think_about_whether_you_are_done' beyond the information focus.

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 guidance: it states the 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 versus alternatives, making it highly actionable.

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