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x746b

mac_forensics-mcp

by x746b

mac_knowledgec_app_usage

Extract application usage history from macOS KnowledgeC.db, revealing which apps were opened and their timestamps for forensic analysis.

Instructions

Get application usage data from KnowledgeC.db. Shows what apps were used and when.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
db_pathYesPath to knowledgeC.db
app_nameNoFilter by app name/bundle ID (substring match)
time_endNoISO datetime - filter before this time
time_startNoISO datetime - filter after this time
Behavior2/5

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

No annotations provided, so description carries full burden. It only says 'Shows what apps were used and when' without disclosing behaviors like required permissions, database accessibility, or potential performance impacts. Minimal behavioral disclosure.

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 with zero waste. First sentence states purpose, second describes output. Efficiently structured and front-loaded.

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

Completeness3/5

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

Given 5 parameters, no output schema, and no annotations, the description provides basic understanding but lacks details on output format, row limits, ordering, or data field names. Adequate but incomplete.

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 80% (4 of 5 parameters have descriptions), so baseline is 3. Description adds no parameter-level detail beyond schema, such as limit semantics or filter inclusivity, but schema already covers parameter purposes.

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?

Description clearly states the verb 'Get' and the specific resource 'application usage data from KnowledgeC.db', and differentiates from sibling tools like mac_safari_history or mac_unified_logs_search by naming the exact database and data type.

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 on when to use this tool versus alternatives, no mention of prerequisites or limitations. The description only states function without usage 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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