suggest_queries
Suggested queries based on indexed codebase. Top files by symbol density, kind distribution, example searches. ~240 tokens.
What it does
Returns a suggested set of queries based on the indexed codebase: top files by symbol density, kind distribution (how many functions vs. classes vs. types), and example search queries that would return useful results.
Zero configuration. Zero guessing. ~240 tokens. The agent starts with a map of what’s worth exploring.
When to use
- First contact with an unfamiliar repo
- Deciding where to start exploring
- Briefing a new agent session
Related tools
Benchmark note
This benchmark compares CodeSift against the closest practical native workflow an agent would use for the same task.
For some tools, that baseline is a direct shell equivalent such as rg or find.
For AST-aware, graph-aware, and LSP-backed tools, the baseline is a multi-step workflow rather than a strictly identical command.
Results should be read as agent-workflow comparisons: token cost, call count, and practical context efficiency.