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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

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.