think_about_collected_information

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes the tool as a cognitive evaluation step ('think about'), which implies it's a read-only, non-destructive operation that doesn't modify data. However, it lacks details on what the 'thinking' entails (e.g., internal processing vs. output generation), potential side effects, or any performance considerations. The description adds basic context but is vague on behavioral specifics.

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. The first sentence defines the tool's function, and the second provides critical contextual instructions. There is no wasted text, and information is front-loaded, making it easy for an agent 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 (a cognitive step with no parameters) and the absence of annotations and output schema, the description is reasonably complete. It explains what the tool does and when to use it, which is sufficient for a zero-parameter tool focused on internal evaluation. However, it could be more complete by clarifying the output or result of the 'thinking' process, as there's no output schema to guide the agent on what to expect after invocation.

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, with 100% schema description coverage (empty schema). The description doesn't need to explain parameters, as there are none. It appropriately focuses on usage context without redundant parameter details, earning a baseline score of 4 for zero-parameter tools that avoid 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 clearly states the tool's purpose: to 'think about the collected information and whether it is sufficient and relevant.' It specifies a cognitive evaluation function rather than a data manipulation action, which distinguishes it from most sibling tools that perform file operations, searches, or memory management. However, it doesn't explicitly differentiate from similar cognitive tools like 'think_about_task_adherence' or 'think_about_whether_you_are_done' beyond the specific focus on 'collected information.'

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 and strong usage guidelines: 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 (after search operations) and implies when not to use it (e.g., as a standalone step or after non-search tasks), offering practical context for the agent.

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