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search_in_large_file

Search for a pattern within large files, supporting regex and case-sensitive matching, with configurable context lines and result limits.

Instructions

Search for a pattern in a large file with context lines. Supports regex and case-sensitive search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filePathYesAbsolute path to the file
patternYesSearch pattern (supports regex if regex=true)
caseSensitiveNoCase sensitive search (default: false)
regexNoUse regex pattern (default: false)
maxResultsNoMaximum number of results (default: 100)
contextBeforeNoNumber of context lines before match (default: 2)
contextAfterNoNumber of context lines after match (default: 2)
startLineNoStart searching from line number (optional)
endLineNoEnd searching at line number (optional)
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions search features but does not disclose side effects, performance implications, or whether the tool is read-only. There is no contradiction.

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?

Two sentences, front-loaded with key information, no unnecessary words. Every sentence adds value.

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 no output schema, the description should explain the return format (e.g., lines with context). It does not. Also, it does not mention that filePath must be absolute. The description is adequate for basic usage but incomplete for full understanding.

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 baseline is 3. The tool description adds minimal extra meaning beyond repeating schema information (e.g., 'supports regex'). Does not significantly compensate for low coverage (not applicable).

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

Purpose5/5

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

The description clearly states it searches for a pattern in a large file with context lines, and explicitly mentions regex and case-sensitive search. It distinguishes from sibling tools like read_large_file_chunk and stream_large_file.

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

Usage Guidelines3/5

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

The description implies usage for pattern searching but does not provide explicit guidance on when to use versus alternatives, nor does it mention any prerequisites or exclusions.

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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