Skip to main content
Glama
verifizieren

Perception RE MCP Server

by verifizieren

re_disasm

Disassemble code at a specified address and perform reverse-engineering analysis including vtables, RTTI, function signatures, and bounds checking.

Instructions

Disassembly & code analysis. ops: disasm {address,count?,size?,bytes?}, vtable {address,max_entries?,disasm_preview?}, rtti {object_address} (address of an object instance; first qword must be its vtable ptr), gensig {address,length?}, bounds {address}, analyze_fn {address,max_size?}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
opYesOperation
sizeNodisasm: max bytes to read (default 256, max 4096)
bytesNodisasm: include per-instruction raw bytes (default false)
countNodisasm: instruction count (default 10, max 1024)
lengthNogensig: byte count (default 32, max 256)
addressNoTarget hex address (most ops)
max_sizeNoanalyze_fn: max bytes to analyze (default 4096, max 64KB)
max_entriesNovtable: max entries (default 50, max 512)
disasm_previewNovtable: disasm first insns of each entry (default false)
object_addressNortti: address of an object instance (its first qword is the vtable pointer)
Behavior3/5

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

With no annotations, the description carries the burden; it provides useful preconditions (e.g., rtti "first qword must be its vtable ptr") and operation semantics. However, it does not disclose output format, failure behavior, or explicitly confirm read-only/no side effects.

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 compact line that front-loads the tool's purpose and uses a terse, readable ops syntax. Each operation and optional parameter earns its place; no filler.

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?

The tool is complex (6 operations, 10 parameters, no output schema or annotations). The description covers all ops and params but lacks return-value/behavior information for operations like "bounds" and "analyze_fn". It is adequate but gaps remain.

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?

Although the schema already documents each parameter with defaults and op-specific descriptions, the description adds value by grouping parameters into per-operation signatures (e.g., "vtable {address,max_entries?,disasm_preview?}") and clarifying the rtti precondition. This helps agents assemble valid calls beyond the flat schema.

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

Purpose4/5

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

The description clearly states the tool is for "Disassembly & code analysis" and enumerates discrete operations (disasm, vtable, rtti, gensig, bounds, analyze_fn) with their parameters. It is specific about the action and resource, but does not explicitly differentiate from sibling tools like re_read or re_proc.

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?

Usage guidance is implied through the operation templates (e.g., "disasm {address,count?,size?,bytes?}"), but the description never says when to prefer this tool over alternatives or when not to use it. It provides no exclusions or scenario-based direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/verifizieren/perception-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server