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feli0x

DocFS

by feli0x

search_files

Locate specified text inside files using filters like glob patterns, case sensitivity, and whole words, with context lines and search depth controls.

Instructions

Searches for text content within files and returns JSON data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe text to search for within files
maxDepthNoMaximum directory depth to traverse when searching (defaults to 10)
wholeWordNoWhether to match whole words only (default: false)
maxResultsNoMaximum number of results to return (default: 100, max: 1000)
filePatternNoOptional glob pattern to filter files to search (e.g., "*.js", "*.md")
contextLinesNoNumber of lines of context to show around matches (default: 2, max: 10)
caseSensitiveNoWhether the search should be case sensitive (default: false)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only mentions returning JSON data, omitting important behaviors like recursive traversal, default case-insensitivity, or result truncation. Some defaults are in the schema, but the description adds no behavioral context beyond the schema.

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, front-loaded sentence with no filler. It efficiently communicates the core function without wasting words.

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?

The tool has 7 parameters, no output schema, and no annotations, yet the description provides minimal context. It does not explain the JSON return format, result ordering, error behavior, or traversal details, leaving significant gaps for an agent to select and invoke the tool correctly.

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 7 parameters clearly. The description adds little beyond 'text content within files', which is echoed in the query parameter description. This matches the baseline for full schema coverage.

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 uses a specific verb ('Searches') and resource ('text content within files'), clearly distinguishing it from sibling tools like list_files, read_files, and dir_tree. The scope is immediately understandable and not a tautology.

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

Usage Guidelines4/5

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

The description implies its usage: use this tool when you need to find text content within files, as opposed to listing files (list_files), reading files (read_files), or exploring structure (dir_tree). However, it does not explicitly name alternatives or state when not to use it.

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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