Skip to main content
Glama

omni_symbolic_protocol

Solve serial/key constraints with Z3, unflatten OLLVM control flow, generate curl_cffi clients, and recover Protobuf/gRPC schemas from binaries or APIs.

Instructions

Symbolic Solving, OLLVM Deobfuscation & Protocol Synthesis: Z3 SMT symbolic serial/keygen solver, OLLVM Control-Flow Flattening (CFF) dispatcher unflattener, Chrome-124 stealth curl_cffi Python client generator, and embedded Protobuf / gRPC .proto schema recoverer.

Input Schema

NameRequiredDescriptionDefault
extraNoOptional prefix (for z3_keygen), function VA/offset (for ollvm_unflatten), HTTP method (for generate_client), or output path.
actionYesSymbolic or protocol synthesis action.
key_lengthNoKey byte length for z3_keygen (default 16).
target_or_exprYesZ3 byte constraint expression (e.g. 'b[0] ^ 0x42 == 0x0f; b[1] + b[2] == 150'), binary path, or API URL.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.2.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are supplied, so the description must carry behavioral disclosure. It names techniques but does not state side effects, permissions, whether it executes binaries or makes network calls, file writes via extra output path, generated-code safety, or reversibility.

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

Conciseness4/5

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

A single dense sentence/fragment front-loads the four capabilities with little waste. It could be organized by action for readability, but it is appropriately brief.

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?

For a multi-action reverse-engineering tool with no annotations and no output schema, the description omits action selection guidance, behavioral constraints, and output expectations. It covers purpose at a high level but is incomplete for safe/correct invocation.

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 coverage is 100% and the enum/param descriptions document action, target_or_expr, extra, and key_length. The tool description adds no parameter meaning beyond the schema, so baseline 3 is appropriate.

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 enumerates four concrete capabilities (Z3 keygen, OLLVM CFF unflattening, curl_cffi client generation, protobuf recovery), giving a specific verb/resource set. It does not explicitly differentiate from sibling reverse-engineering tools such as omni_deobfuscate_snippet, so it stops short of 5.

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 when-to-use or when-not-to-use guidance is provided; it only lists action capabilities, leaving the agent to infer action selection from the enum and schema. No alternatives or prerequisites are named.

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