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Tokeii0

capstone-mcp-server

by Tokeii0

extract_strings_from_file

Extract readable strings from binary files, with configurable minimum length, encoding, and result limits. Useful for analyzing binary data in reverse engineering or security analysis.

Instructions

Extract readable strings from a binary file (similar to the strings command).

Args: file_path: Absolute path to the file. min_length: Minimum string length. Default: 4. encoding: Encoding type: "ascii", "utf16le", or "both" (default). max_results: Maximum results to return. Default: 300.

Returns: List of extracted strings with offset and encoding info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
min_lengthNo
encodingNoboth
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must convey behavioral traits. It mentions returning a list with offset and encoding info, which is helpful, but does not disclose error conditions, file size limits, or performance considerations. Adequate for a simple read-only extraction tool.

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 concise, using a clear summary line followed by parameter explanations in a structured format (Args:). Every sentence adds value, and there is no redundant information. Well-suited for quick comprehension.

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

Completeness4/5

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

Given the tool's simplicity, presence of an output schema (reducing need for return value explanation), and clear parameter documentation, the description is largely complete. Minor gaps like error handling do not detract significantly from overall completeness.

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

Parameters4/5

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

With 0% schema description coverage, the description fully compensates by explaining each parameter's purpose: file_path (absolute path), min_length (minimum string length), encoding (type with defaults and possible values), and max_results (limit). This adds significant meaning beyond the schema's bare titles and types.

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 the tool extracts readable strings from a binary file, analogous to the `strings` command. This verb+resource combination is specific and distinguishes it from sibling tools that focus on disassembly, analysis, or other binary operations.

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 provides an analogy to the `strings` command but does not explicitly state when to use this tool versus alternatives. No guidance on when not to use it or which sibling tools address specific needs. Usage is implied by the function, but lacks explicit context.

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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