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Ghosthunter5599

Forensics MCP Server

extract_strings

Extract printable ASCII and Unicode strings from digital evidence artifacts, enabling analysts to find embedded text patterns in binary files.

Instructions

Extracts printable ASCII & Unicode strings from an evidence artifact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
case_idNoCASE-DEFAULT
file_pathYes
min_lengthNo
max_resultsNo
pattern_filterNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states the basic extraction function but omits critical details such as whether the operation is read-only, how results are returned, edge cases like missing files, or any performance implications.

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

Conciseness2/5

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

The description is extremely concise (10 words, single sentence), but this conciseness sacrifices essential information. It lacks structure and reads as a fragment, failing to earn its place when more detail is needed.

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

Completeness1/5

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

Given the tool has 5 parameters, no schema descriptions, and an available but unused output schema, the description is woefully incomplete. It does not address parameter roles, return value format, or how to interpret results, leaving the agent with insufficient context to use the tool effectively.

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

Parameters1/5

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

The description adds no information about any of the 5 parameters (case_id, file_path, min_length, max_results, pattern_filter). Since schema description coverage is 0%, the description fails to compensate, leaving the agent without any semantic understanding of required or optional inputs.

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 action (extracts), the resource (printable ASCII & Unicode strings), and the source (evidence artifact). It effectively distinguishes from sibling tools like extract_metadata and scan_iocs.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of appropriate contexts, prerequisites, or exclusions, which is critical for an agent to decide between extract_strings and siblings like extract_metadata.

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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