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fast_extract_lines

Extract specific lines from files using line numbers, ranges, or patterns to retrieve targeted content quickly and precisely.

Instructions

Extracts specific lines from a file

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesFile path
line_numbersNoLine numbers to extract
start_lineNoStart line (for range extraction)
end_lineNoEnd line (for range extraction)
patternNoExtract lines by pattern
context_linesNoNumber of context lines before and after a pattern match
Behavior2/5

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 states the action ('extracts') but doesn't clarify if this is read-only, whether it modifies the file, error handling for invalid line numbers, or output format. For a tool with 6 parameters and no annotations, this leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence with zero waste. It's front-loaded with the core action and resource, making it highly efficient and easy to parse, which is ideal for conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (6 parameters, no output schema, and no annotations), the description is inadequate. It doesn't explain the return values, how parameters interact (e.g., using line_numbers vs. pattern), or error conditions, leaving the agent with insufficient context for reliable use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional meaning beyond implying extraction by 'specific lines', which is covered by the schema's details on line_numbers, start_line, end_line, and pattern. Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('extracts') and resource ('specific lines from a file'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'fast_read_file' or 'fast_search_files', which might also involve reading file content, so it doesn't achieve the highest score for sibling distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'fast_read_file' (for reading entire files) and 'fast_search_files' (for pattern-based searches), there's no indication of when extraction by line numbers or patterns is preferred, leaving usage context unclear.

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

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