x64dbg MCP
https://github.com/user-attachments/assets/07b813eb-4175-4f14-b21b-602548906398
x64dbg MCP gives an MCP client guarded control of a real x64dbg or x32dbg session. It turns live debugging into a replayable reverse-engineering workflow: bind the exact process, observe runtime facts, recover useful artifacts, validate them independently, and hand the evidence to IDA.
What it does
Launches or attaches with arguments, working directory, environment and child-process policy.
Reads and changes registers, memory, threads, modules and owned breakpoints.
Captures instruction, API, heap, exception and basic-block evidence.
Finds comparison values, runtime strings, indirect calls, OEPs and imports.
Produces memory PE dumps, minidumps, fixed imports and patched exports.
Exchanges runtime facts with IDA using a portable file SHA-256 + module RVA identity instead of unstable runtime addresses.
Tool groups
Workflow | Representative tools | Result |
Launch and bind |
| Reproducible process and session identity |
Live control |
| Controlled execution, memory and breakpoint changes |
Runtime evidence |
| Instruction paths, API/heap calls, exceptions and executed blocks |
Key and unpack recovery |
| Comparisons, strings, OEP and runtime import candidates |
Dump and repair |
| Replayable dumps and independently checked PE artifacts |
IDA evidence handoff |
| Hash/RVA-addressed comments, labels, coverage and API facts |
The complete catalog, parameters and response contracts are in the
tool reference. The compact profile keeps routine
model-facing responses short; detail="full" and the full profile expose
the complete evidence when it is needed.
Quick setup
Download the combined Windows bundle from Releases. It contains both native plugins and the Python backend:
plugins\MCPx64dbg.dp64for x64dbgplugins\MCPx64dbg.dp32for x32dbgruntime\srcandruntime\requirements.txtself-contained x64/x86 managed-runtime probes under
runtime\tools\bin\managed_probe
Close x64dbg/x32dbg. Open PowerShell in the folder containing the downloaded ZIP, then run the block below. It asks where to keep the MCP bundle and where x64dbg is already installed; no drive or installation directory is assumed. Keep the same PowerShell window open for the client-specific commands below.
$Archive = Get-ChildItem -File .\x64dbg-mcp-windows-*.zip |
Sort-Object LastWriteTime -Descending |
Select-Object -First 1
if (-not $Archive) { throw 'The x64dbg MCP release ZIP was not found in this folder.' }
$BundleRoot = Read-Host 'Absolute folder where x64dbg MCP should be extracted'
$X64dbgRoot = Read-Host 'Absolute folder containing the x64 and x32 x64dbg folders'
$BundleRoot = [IO.Path]::GetFullPath(
[Environment]::ExpandEnvironmentVariables($BundleRoot.Trim()))
$X64dbgRoot = (Resolve-Path -LiteralPath (
[Environment]::ExpandEnvironmentVariables($X64dbgRoot.Trim()))).Path
if (-not (Test-Path -LiteralPath (Join-Path $X64dbgRoot 'x64\x64dbg.exe'))) {
throw "x64dbg.exe was not found under $X64dbgRoot\x64"
}
if (-not (Test-Path -LiteralPath (Join-Path $X64dbgRoot 'x32\x32dbg.exe'))) {
throw "x32dbg.exe was not found under $X64dbgRoot\x32"
}
Expand-Archive -LiteralPath $Archive.FullName -DestinationPath $BundleRoot -Force
Copy-Item (Join-Path $BundleRoot 'plugins\MCPx64dbg.dp64') `
(Join-Path $X64dbgRoot 'x64\plugins\MCPx64dbg.dp64') -Force
Copy-Item (Join-Path $BundleRoot 'plugins\MCPx64dbg.dp32') `
(Join-Path $X64dbgRoot 'x32\plugins\MCPx64dbg.dp32') -Force
$RuntimeRoot = Join-Path $BundleRoot 'runtime'
Set-Location $RuntimeRoot
py -3.11 -m venv .venv
.\.venv\Scripts\python.exe -m pip install -r requirements.txt
$PythonExe = (Resolve-Path .\.venv\Scripts\python.exe).Path
$Launcher = (Resolve-Path .\src\mcp_stdio_launcher.py).Path
[pscustomobject]@{
PythonExe = $PythonExe
Launcher = $Launcher
X64dbgRoot = $X64dbgRoot
}Codex
Add the server to ~\.codex\config.toml. Replace the three angle-bracketed
values with the absolute paths printed by the setup block. TOML single-quoted
strings preserve Windows backslashes as written.
[mcp_servers.x64dbg]
command = '<PythonExe>'
args = ['<Launcher>']
startup_timeout_sec = 90
[mcp_servers.x64dbg.env]
X64DBG_ROOT = '<X64dbgRoot>'
X64DBG_MCP_TOOL_PROFILE = 'compact'For normal target startup, call InitDebuggee directly with the EXE path. It
detects x86/x64, starts the matching debugger from X64DBG_ROOT, waits for the
bridge and opens the target. A separate BridgeHello preflight or manual
debugger-path search is not required.
Optional installation check: start x64dbg or x32dbg and verify the bridge:
& $PythonExe (Join-Path $RuntimeRoot 'src\x64dbg.py') GetDebuggerPluginStatusGetScyllaHideStatus.installed and integrationReady describe the MCP
InjectorCLI/HookLibrary backend. guiPluginPresent describes only the optional
x64dbg GUI plugin; it is not required for MCP injection.
ScyllaHide is opt-in: launch tools default to use_scyllahide="off", and
auto also skips injection. Use force with an explicit profile when needed.
The CLI backend stages a private INI beside the injector and targets the exact
PID. Its compatibility configuration disables NtContinueHook and
KillAntiAttach together to avoid the reproduced continuation crash; the
result reports these overrides. This does not guarantee that every third-party
profile is compatible with every target or Windows build.
Claude Code
Add the same stdio server to Claude Code with the user scope. This command uses the paths selected by the setup block instead of embedding a machine-specific location:
$ClaudeServer = [ordered]@{
command = $PythonExe
args = @($Launcher)
env = [ordered]@{
X64DBG_ROOT = $X64dbgRoot
X64DBG_MCP_TOOL_PROFILE = 'compact'
}
} | ConvertTo-Json -Depth 4 -Compress
claude mcp add-json x64dbg $ClaudeServer --scope user
claude mcp listAlternatively, run claude mcp add and enter the same command, arguments and
environment interactively.
Claude Desktop and other stdio clients
Use the client's MCP JSON configuration. For Claude Desktop on Windows, the
file is %APPDATA%\Claude\claude_desktop_config.json. Generate a JSON block
with the actual paths selected above:
$ClientConfig = [ordered]@{
mcpServers = [ordered]@{
x64dbg = [ordered]@{
command = $PythonExe
args = @($Launcher)
env = [ordered]@{
X64DBG_ROOT = $X64dbgRoot
X64DBG_MCP_TOOL_PROFILE = 'compact'
}
}
}
}
$ClientConfig | ConvertTo-Json -Depth 6Cursor, VS Code MCP, Windsurf and other stdio clients use the same
command/args/env contract; only the location of their JSON file differs.
Build from source
git clone https://github.com/rison1337/x64dbgMCP.git
Set-Location x64dbgMCP
cmake -S . -B build -G "Visual Studio 17 2022" -DX64DBG_DOWNLOAD_SDK=ON
cmake --build build --target all_plugins --config Release
$X64dbgRoot = (Resolve-Path -LiteralPath (Read-Host 'x64dbg installation folder')).Path
Copy-Item build\build64\Release\MCPx64dbg.dp64 `
(Join-Path $X64dbgRoot 'x64\plugins\MCPx64dbg.dp64') -Force
Copy-Item build\build32\Release\MCPx64dbg.dp32 `
(Join-Path $X64dbgRoot 'x32\plugins\MCPx64dbg.dp32') -ForceIDA Pro MCP Fusion handoff
The IDA workflow is designed for the rison1337/ida-pro-mcp-fusion fork. x64dbg MCP does not pretend to be an IDA replacement and does not silently mutate an unrelated database. Instead:
ExportRuntimeEvidencewrites a versioned evidence document containing the target SHA-256, architecture, module RVAs, executed blocks, API calls, comments, labels and functions.ResolveModuleRvaand the coordinator normalize live addresses to the static image identity.tools/ida_evidence_coordinator.pyvalidates that the open Fusion database has the same SHA-256 and architecture, then creates deterministicset_name,set_comments,define_funcand coverage/API comment actions.Fusion applies those actions in its IDA worker and can retain the result in its persistent SQLite cache for later multi-binary analysis.
This is an explicit artifact/protocol handoff, so it remains inspectable and retryable. See the coordinator and the Fusion README for the IDA-side worker and cache model.
Documentation
CI covers the Python contract and both native plugin architectures. The release workflow also checks the packaged stdio server and managed probes. Live debugger gates run locally and retain JSON reports; see Contributing. Analyze untrusted binaries inside a disposable VM.
GPL-3.0. Based on x64dbgMCP by Sam W (Wasdubya). See NOTICE for attribution.
x64dbg MCP даёт MCP-клиенту защищённое управление настоящей сессией x64dbg или x32dbg. Он превращает живую отладку в воспроизводимый reverse-engineering workflow: привязать точный процесс, снять runtime-факты, восстановить полезные артефакты, независимо проверить результат и передать факты в IDA.
Возможности
Запуск и attach с аргументами, cwd, окружением и политикой дочерних процессов.
Регистры, память, потоки, модули и breakpoint'ы с контролем владельца.
Instruction-, API-, heap-, exception-trace и basic-block evidence.
Поиск сравнений, runtime-строк, косвенных вызовов, OEP и импортов.
PE из памяти, minidump, исправление IAT и экспорт пропатченного файла.
Обмен с IDA через переносимую связку SHA-256 файла + module RVA, а не случайный runtime VA.
Группы инструментов
Этап | Примеры MCP tools | Что получается |
Запуск и привязка |
| Воспроизводимый процесс и точная session identity |
Управление |
| Контролируемый run/step, память и breakpoint'ы |
Runtime evidence |
| Пути инструкций, API/heap, исключения и выполненные блоки |
Поиск ключей и unpack |
| Сравнения, строки, OEP и кандидаты runtime-IAT |
Дамп и восстановление |
| Повторяемые дампы и проверенные PE-артефакты |
Передача в IDA |
| Комментарии, labels, coverage и API-факты по hash/RVA |
Полный каталог, параметры и контракты ответов находятся в
справочнике инструментов. Профиль compact делает
обычные ответы короткими; detail="full" и профиль full возвращают всё
доказательство.
Быстрая настройка
Скачайте из Releases единый Windows-архив. Внутри сразу есть оба native-плагина и Python-backend:
plugins\MCPx64dbg.dp64для x64dbgplugins\MCPx64dbg.dp32для x32dbgruntime\srcиruntime\requirements.txtавтономные x64/x86 managed-runtime probes в
runtime\tools\bin\managed_probe
Закройте x64dbg/x32dbg. Откройте PowerShell в папке со скачанным ZIP и выполните блок ниже. Он сам запросит папку для MCP и путь к уже установленному x64dbg — диск и расположение заранее не предполагаются. Не закрывайте это окно PowerShell до выполнения команд для выбранного MCP-клиента.
$Archive = Get-ChildItem -File .\x64dbg-mcp-windows-*.zip |
Sort-Object LastWriteTime -Descending |
Select-Object -First 1
if (-not $Archive) { throw 'Архив релиза x64dbg MCP не найден в этой папке.' }
$BundleRoot = Read-Host 'Полный путь к папке, куда распаковать x64dbg MCP'
$X64dbgRoot = Read-Host 'Полный путь к папке x64dbg, содержащей каталоги x64 и x32'
$BundleRoot = [IO.Path]::GetFullPath(
[Environment]::ExpandEnvironmentVariables($BundleRoot.Trim()))
$X64dbgRoot = (Resolve-Path -LiteralPath (
[Environment]::ExpandEnvironmentVariables($X64dbgRoot.Trim()))).Path
if (-not (Test-Path -LiteralPath (Join-Path $X64dbgRoot 'x64\x64dbg.exe'))) {
throw "x64dbg.exe не найден в $X64dbgRoot\x64"
}
if (-not (Test-Path -LiteralPath (Join-Path $X64dbgRoot 'x32\x32dbg.exe'))) {
throw "x32dbg.exe не найден в $X64dbgRoot\x32"
}
Expand-Archive -LiteralPath $Archive.FullName -DestinationPath $BundleRoot -Force
Copy-Item (Join-Path $BundleRoot 'plugins\MCPx64dbg.dp64') `
(Join-Path $X64dbgRoot 'x64\plugins\MCPx64dbg.dp64') -Force
Copy-Item (Join-Path $BundleRoot 'plugins\MCPx64dbg.dp32') `
(Join-Path $X64dbgRoot 'x32\plugins\MCPx64dbg.dp32') -Force
$RuntimeRoot = Join-Path $BundleRoot 'runtime'
Set-Location $RuntimeRoot
py -3.11 -m venv .venv
.\.venv\Scripts\python.exe -m pip install -r requirements.txt
$PythonExe = (Resolve-Path .\.venv\Scripts\python.exe).Path
$Launcher = (Resolve-Path .\src\mcp_stdio_launcher.py).Path
[pscustomobject]@{
PythonExe = $PythonExe
Launcher = $Launcher
X64dbgRoot = $X64dbgRoot
}Codex
Добавьте сервер в ~\.codex\config.toml. Замените три значения в угловых
скобках на абсолютные пути, которые напечатал блок настройки. В одинарных
строках TOML обратные слеши Windows не нужно удваивать.
[mcp_servers.x64dbg]
command = '<PythonExe>'
args = ['<Launcher>']
startup_timeout_sec = 90
[mcp_servers.x64dbg.env]
X64DBG_ROOT = '<X64dbgRoot>'
X64DBG_MCP_TOOL_PROFILE = 'compact'Для обычного запуска цели сразу вызовите InitDebuggee с путём к EXE.
Инструмент сам определит x86/x64, запустит подходящий debugger из
X64DBG_ROOT, дождётся bridge и откроет цель. Отдельная проверка через
BridgeHello и ручной поиск пути к x64dbg не нужны.
Необязательная проверка установки: запустите x64dbg или x32dbg и проверьте bridge:
& $PythonExe (Join-Path $RuntimeRoot 'src\x64dbg.py') GetDebuggerPluginStatusПоля GetScyllaHideStatus.installed и integrationReady относятся к backend
на базе InjectorCLI, HookLibrary и profile INI. guiPluginPresent сообщает
только о необязательном GUI-плагине x64dbg; для MCP-инъекции он не требуется.
ScyllaHide включается явно: launch-инструменты используют use_scyllahide="off"
по умолчанию, а auto также пропускает инъекцию. При необходимости используйте
force с выбранным профилем. CLI backend создаёт отдельный INI рядом с injector
и передаёт точный PID. Для устранения воспроизведённого падения при продолжении
он отключает NtContinueHook вместе с KillAntiAttach и сообщает эти изменения
в результате. Совместимость остальных настроек профиля зависит от цели и Windows.
Claude Code
Добавьте тот же stdio-сервер в Claude Code с областью пользователя. Команда использует выбранные выше пути, а не расположение с чужого компьютера:
$ClaudeServer = [ordered]@{
command = $PythonExe
args = @($Launcher)
env = [ordered]@{
X64DBG_ROOT = $X64dbgRoot
X64DBG_MCP_TOOL_PROFILE = 'compact'
}
} | ConvertTo-Json -Depth 4 -Compress
claude mcp add-json x64dbg $ClaudeServer --scope user
claude mcp listЛибо запустите claude mcp add и введите те же command, args и env
интерактивно.
Claude Desktop и другие stdio-клиенты
Используйте JSON-конфигурацию MCP вашего клиента. В Claude Desktop на Windows
это %APPDATA%\Claude\claude_desktop_config.json. Сформируйте JSON с реально
выбранными путями:
$ClientConfig = [ordered]@{
mcpServers = [ordered]@{
x64dbg = [ordered]@{
command = $PythonExe
args = @($Launcher)
env = [ordered]@{
X64DBG_ROOT = $X64dbgRoot
X64DBG_MCP_TOOL_PROFILE = 'compact'
}
}
}
}
$ClientConfig | ConvertTo-Json -Depth 6Cursor, VS Code MCP, Windsurf и другие stdio-клиенты используют тот же
контракт command/args/env; отличается только путь к JSON-файлу.
Сборка из исходников
git clone https://github.com/rison1337/x64dbgMCP.git
Set-Location x64dbgMCP
cmake -S . -B build -G "Visual Studio 17 2022" -DX64DBG_DOWNLOAD_SDK=ON
cmake --build build --target all_plugins --config Release
$X64dbgRoot = (Resolve-Path -LiteralPath (Read-Host 'Папка установки x64dbg')).Path
Copy-Item build\build64\Release\MCPx64dbg.dp64 `
(Join-Path $X64dbgRoot 'x64\plugins\MCPx64dbg.dp64') -Force
Copy-Item build\build32\Release\MCPx64dbg.dp32 `
(Join-Path $X64dbgRoot 'x32\plugins\MCPx64dbg.dp32') -ForceСинхронизация с IDA Pro MCP Fusion
Связка рассчитана именно на форк rison1337/ida-pro-mcp-fusion. x64dbg MCP не подменяет IDA и не пишет в случайную базу:
ExportRuntimeEvidenceсохраняет версионированный JSON с SHA-256 цели, архитектурой, module RVA, выполненными блоками, API-вызовами, labels, comments и функциями.ResolveModuleRvaи coordinator переводят runtime-адреса в координаты статического образа.tools/ida_evidence_coordinator.pyсверяет SHA-256 и архитектуру открытой Fusion-базы и строит детерминированные действияset_name,set_comments,define_funcи комментарии coverage/API.Fusion применяет действия в своём IDA worker и может сохранить результат в persistent SQLite cache для следующих multi-binary исследований.
Это явный, проверяемый и повторяемый artifact/protocol handoff, а не скрытая связь по нестабильным VA. Подробности: coordinator и README Fusion.
Документация
CI проверяет Python-контракт и native-плагины обеих архитектур. Release workflow также проверяет stdio-сервер и managed probes из собранного архива. Live-проверки debugger выполняются локально и сохраняют JSON-отчёты; см. участие в разработке. Неизвестные бинарники анализируйте в одноразовой VM.
GPL-3.0. Проект основан на x64dbgMCP Sam W (Wasdubya). Атрибуция: NOTICE.
Available Tools
40 toolsAttachToProcessADestructive
Attach x64dbg/x32dbg to an already-running process.
Args: pid: Exact target PID. Preferred when known. exe_filter: Process name or image-path substring when pid is not provided. arch: Desired debugger architecture. Auto prefers the target process architecture. restart_debugger: When true, restart the debugger before attach. stop_first: When true, stop the current debug session before attaching. timeout_ms: Maximum time to wait for the attach to complete.
| Name | Required | Description | Default |
|---|---|---|---|
| pid | No | ||
| arch | No | auto | |
| exe_filter | No | ||
| stop_first | No | ||
| timeout_ms | No | ||
| restart_debugger | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, openWorldHint=true and non-idempotent, so the safety profile is covered. The description adds some behavioral detail (stop_first stops the current session, restart_debugger restarts the debugger), but it does not mention elevation/permission requirements or the effect on any existing attach, which would be valuable for a destructive attach operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Purpose is front-loaded in a single sentence, followed by a compact per-parameter list with no filler. The Args block is standard and every line earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a destructive, open-world attach tool with no output schema and no annotations covering return behavior, the description covers inputs well but omits what happens on failure/timeout, whether it requires privileges, and what the caller gets back. Adequate but leaves notable operational gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the full parameter burden and does so: all six parameters are annotated with real meaning, including that 'arch' auto prefers the target architecture and that 'pid' is exact. The explanations are terse but leave no parameter undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (Attach) and a precise resource (an already-running process) and even names the concrete tools used (x64dbg/x32dbg). No sibling tool performs an attach, so the action is unmistakable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives selection logic between two parameters ('pid' preferred when known, 'exe_filter' when pid is not provided) which implies usage context, but it never states when to reach for this tool versus DebugRun/InitDebuggee or any preconditions. There is no explicit when/when-not guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
BridgeHelloARead-onlyIdempotent
Return the authoritative debugger bridge and debug-session identity.
Diagnostic only for a debugger that is already running. When a target EXE path is known, call InitDebuggee directly instead of using BridgeHello as a preflight check; InitDebuggee selects and starts x32dbg/x64dbg from the configured X64DBG_ROOT and waits for this bridge automatically.
This is the identity used by every state-changing operation. ok is
false for a legacy bridge because it cannot provide atomic stale-session
protection.
| Name | Required | Description | Default |
|---|---|---|---|
| refresh | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint/idempotentHint=true and destructiveHint=false, so safety is covered. The description adds real behavior context: it returns the identity used by every state-changing operation, and 'ok' is false for a legacy bridge lacking atomic stale-session protection. It does not explain the refresh parameter's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded with the core purpose, then the routing guidance, then the identity/ok caveat. Mostly tight, though the three-paragraph layout is slightly heavier than the information requires.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a read-only diagnostic with no output schema and a single param, the description is nearly adequate: it explains the identity semantics and the ok field. However, it leaves the only parameter unexplained, which is the main completeness gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
One optional parameter (refresh, boolean, default true) with 0% schema description coverage, and the description never mentions it. The schema gives only type and default, so the agent has no idea what refresh actually toggles or when to set it.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: 'Return the authoritative debugger bridge and debug-session identity.' It further pins down scope by naming a sibling ('call InitDebuggee directly instead') so an agent can route without opening either schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicit when-to-use ('Diagnostic only for a debugger that is already running') and when-not ('When a target EXE path is known, call InitDebuggee directly'). It also warns against a specific misuse: using this as a preflight check.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
CaptureManagedRuntimeStateA
Capture CLR/AppDomain/module/thread/stack/JIT state via a passive sidecar.
The target must be paused for a coherent ClrMD read. The sidecar never claims the debug port and performs no target mutation. Optional token resolution is intentionally scoped to methods present on active managed stacks; unavailable pre-JIT methods are reported as not found.
| Name | Required | Description | Default |
|---|---|---|---|
| module | No | ||
| max_maps | No | ||
| max_frames | No | ||
| timeout_ms | No | ||
| max_modules | No | ||
| max_threads | No | ||
| resume_after | No | ||
| metadata_token | No | ||
| pause_if_running | No | ||
| instruction_pointer | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Adds real behavior beyond the annotations: passive sidecar, never claims the debug port, no target mutation, and the scope of optional token resolution. It doesn't disclose what the caller should expect about the pause/resume_after lifecycle, but it meaningfully explains a non-read-only tool's safety profile.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three short, front-loaded paragraphs; the core purpose leads and the constraints follow. No filler, though the token-resolution sentence is niche detail placed at the same weight as the pause requirement.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Behavioral context is decently covered, but for a 10-parameter tool with no output schema and zero schema coverage, the description leaves parameter semantics and the return shape entirely unaddressed. It is adequate on behavior but incomplete on invocation detail.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
10 parameters at 0% schema description coverage, and the description only hints at metadata_token/instruction_pointer via the token-resolution sentence. max_maps, max_frames, max_modules, max_threads, timeout_ms, module, resume_after, and pause_if_running are left entirely to bare names and defaults.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (Capture) and a precise resource (CLR/AppDomain/module/thread/stack/JIT state) plus the mechanism (passive sidecar). This distinguishes it from siblings like GetRegisterDump, GetCallStack, and DumpModule, which cover unmanaged/register/module-level state rather than the full managed runtime view.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives one hard precondition (target must be paused) but never states when to choose this tool over CaptureStopContextStructured, DumpModule, or GetCallStack. Usage is implied by the resource it captures, so this is minimum-viable rather than routing guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
CaptureStopContextStructuredARead-onlyIdempotent
Capture a rich, structured snapshot of the current stop — registers, selected memory/stack slots, the call stack, and disassembly around the instruction pointer — in one payload. Ideal right after a breakpoint hit so the model gets full context in a single round-trip.
Args: registers_json: Optional JSON array of register names to include (empty = the standard set). expressions_json: Optional JSON array of x64dbg expressions to evaluate. ranges_json: Optional JSON array of {label, expr, size, format} memory ranges to read. stack_slots_json: Optional JSON array describing stack slots to decode. disasm_before: Instructions to disassemble before the IP (default 2). disasm_after: Instructions to disassemble after the IP (default 4). callstack_limit: Maximum call-stack frames to include (default 12).
Returns: {"ok": bool, "registers": ..., "memory": ..., "callStack": ..., "disasm": ...} structured context, or an error envelope.
| Name | Required | Description | Default |
|---|---|---|---|
| ranges_json | No | ||
| disasm_after | No | ||
| disasm_before | No | ||
| registers_json | No | ||
| callstack_limit | No | ||
| expressions_json | No | ||
| stack_slots_json | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so safety and repeatability are covered. The description adds the legitimate operational context that this is a snapshot-style read best issued after a breakpoint hit. It does not disclose prerequisites (e.g. whether the debuggee must be paused) or any failure/error conditions, which for a capture tool is a modest remaining gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The core purpose is front-loaded in the first sentence, followed by clearly delimited Args and Returns sections where each line earns its place. It is slightly verbose in places but no sentence is wasted, and the structure is easy to scan.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description commendably supplies the return envelope ({"ok", registers, memory, callStack, disasm} or an error envelope), and it covers usage timing and every parameter. What is missing is prerequisite state (paused debuggee / active session) and error semantics, which an agent would want before calling.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must carry the full parameter burden, and it largely does: it documents all seven params with defaults and gives the ranges_json shape ({label, expr, size, format}) plus the 'empty = standard set' behavior for registers. The stack_slots_json and expressions_json entries remain format-vague ('JSON array describing stack slots'), which keeps it short of a 5.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb and resource ('Capture a rich, structured snapshot of the current stop') and enumerates exactly what the snapshot contains: registers, memory/stack slots, call stack, and disassembly around the IP. The 'in one payload'/'single round-trip' framing implicitly distinguishes it from granular siblings like GetRegisterDump, GetCallStack, and DisasmRange, but those siblings are never named, so differentiation is inferential rather than explicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
'Ideal right after a breakpoint hit so the model gets full context in a single round-trip' gives clear, actionable timing guidance. There is no explicit when-not guidance and no named alternatives (e.g. use GetRegisterDump when you only need registers), but the context for use is unambiguous.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
DebugDeleteBreakpointADestructiveIdempotent
Delete breakpoint at address using Script API
Parameters: addr: Memory address (in hex format, e.g. "0x1000")
Returns: Status message
| Name | Required | Description | Default |
|---|---|---|---|
| addr | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructive=true, idempotent=true, readOnly=false, and openWorld=true, so the safety profile is covered structurally. The description adds the mechanism ('using Script API') and that it returns a status message, but says nothing about failure modes (e.g. no breakpoint at addr) or any effect on a live session.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded with the action, then cleanly separated Parameters and Returns sections with zero filler. Every line earns its place for such a small tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-parameter mutation with rich annotations but no output schema, the description supplies the parameter format and a return-value hint. It omits error/edge-case behavior, but nothing essential to invoking it correctly is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must carry the parameter meaning, and it does: 'addr: Memory address (in hex format, e.g. "0x1000")' adds format and a concrete example the schema lacks. This meaningfully compensates for the undocumented property.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource combination ('Delete breakpoint at address'), which clearly separates it from siblings like SetBreakpointWithCapture and the Debug*-navigation tools. It does not explicitly name an alternative or clarify scope relative to them, so it stops short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance, no preconditions (e.g. an attached/running debuggee), and no mention of alternatives. The only implied usage is that an address must already have a breakpoint, which the agent has to infer.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
DebugPauseBIdempotent
Pause execution without blocking the MCP HTTP server.
Returns: Status message
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds one genuinely useful behavioral fact — the pause is non-blocking for the HTTP server — but says nothing about whether execution actually halts, how the pause interacts with WaitForPause, or what the agent should do next.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short lines, front-loaded with the action and its key constraint. The 'Returns: Status message' line is boilerplate but not wasteful enough to penalize further.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description carries the return-value burden and does so only minimally ('Status message'). For a debugger-control tool in a family with WaitForPause and GetDebugState, the agent is left without guidance on the pause lifecycle or how to confirm the pause took effect.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline is 4. The description correctly adds no parameter semantics because there are none to describe.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('Pause execution') plus a scoping qualifier ('without blocking the MCP HTTP server'), which is enough to separate it from DebugRun/DebugStop/DebugStep*. However it does not distinguish itself from the closely related WaitForPause, leaving the pause/wait pairing ambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit when-to-use guidance, no prerequisites, and no mention of alternatives such as DebugRun, DebugStop, or WaitForPause. Usage can only be inferred from the verb 'Pause'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
DebugRunB
Resume execution without blocking the MCP HTTP server.
This intentionally uses a non-blocking debugger command path so the bridge can continue to service Pause/Status requests while the target is running.
Returns: Status message
| Name | Required | Description | Default |
|---|---|---|---|
| exception_mode | No | normal |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the safety profile (readOnly=false, idempotent=false, destructive=false, openWorld=true), so the description's job is to add context. It does so meaningfully by disclosing that execution is non-blocking and that the bridge keeps servicing Pause/Status while the target runs - a real behavioral trait not captured by annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded with the core action ('Resume execution') and kept short. The second sentence elaborates the non-blocking mechanism, which is slightly redundant with the first clause but still earns its place by naming the affected Pause/Status path.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a resume tool with annotations covering safety and no output schema, the description adequately covers the key non-blocking behavior, and 'Returns: Status message' sets return expectations. However, it leaves the lone parameter unexplained and gives no guidance on when execution resumes vs step semantics.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single parameter 'exception_mode' has 0% schema description coverage, and the description adds nothing about it - no valid values, no meaning of 'normal', no effect on behavior. With low coverage the description is expected to compensate, and it entirely fails to.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource ('Resume execution') that clearly maps to the target debuggee, distinguishing it from the sibling pause/stop tools by implication. It does not, however, explicitly differentiate itself from DebugStepIn/Over/Out, which also advance execution.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by 'Resume execution' (invoke after a pause/breakpoint), but there is no explicit when-to-use vs when-not guidance and no named alternatives among the many DebugStep* siblings. A clear context is present but routing is left to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
DebugStepInB
Step into the next instruction without blocking the MCP HTTP server.
Returns: Command execution result
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, idempotentHint=false, and openWorldHint=true, so the mutation/non-repeatable profile is covered. The description adds genuinely useful context by noting it does not block the MCP HTTP server, but it does not say whether the step completes asynchronously, whether WaitForPause is required afterward, or what 'Command execution result' actually contains.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded with the core action and kept to two short lines with no filler. The trailing 'Returns: Command execution result' is vague boilerplate, but it costs little.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a state-mutating debugger control with no output schema, the definition covers the action and the non-blocking trait but omits execution prerequisites (must be paused), behavior on non-call instructions, and any indication of what the result means. Adequate but with clear gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline of 4 applies. There is nothing for the description to disambiguate beyond what the empty schema already conveys.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('step into') and object ('the next instruction'), which is clear on its own. However, it never explicitly distinguishes itself from DebugStepOver, DebugStepOut, or DebugRun, leaving the agent to infer the difference between 'into' and 'over' from naming convention alone.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No when-to-use guidance and no alternatives named, despite five closely-related stepping/run siblings. It also omits the essential prerequisite that the debuggee must already be paused; nothing tells the agent when stepping is valid vs. when to call DebugRun or WaitForPause first.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
DebugStepOutA
Step out of the current function without blocking the MCP HTTP server.
Returns: Command execution result
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, idempotentHint=false, destructiveHint=false and openWorldHint=true. The description adds one genuinely useful behavioral trait beyond them — that the step executes without blocking the MCP HTTP server — but omits prerequisites such as whether the debuggee must be paused at a breakpoint.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short lines, with the action statement front-loaded and no filler. The trailing 'Returns: Command execution result' is slightly boilerplate but harmless.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple no-param debugger action this is close to adequate, but it omits the state precondition (debugger must be paused; a step-out from the bottom of the stack may not be valid) and the return value is described only as the generic 'Command execution result' with no output schema to fill the gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is no parameter surface to explain; the baseline for a no-param tool is 4. The empty schema imposes no undocumented burden on the description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource: 'Step out of the current function,' which is a precise debugger action an agent can distinguish from DebugStepIn/DebugStepOver by name alone. It does not explicitly name those siblings, so it stops short of full differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by the name and by the debug sibling set, but the description gives no explicit when-to-use or when-not-to-use guidance versus DebugStepIn, DebugStepOver, or DebugRun. Nothing is misleading, but the agent must infer the context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
DebugStepOverB
Step over the next instruction without blocking the MCP HTTP server.
Returns: Command execution result
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=false, idempotentHint=false, destructiveHint=false and openWorldHint=true, so safety and repeatability are already covered. The description adds one genuinely useful trait beyond the annotations: the call is non-blocking ('without blocking the MCP HTTP server'). It still omits the paused-state precondition and any error behavior if the debuggee is running.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short lines, front-loaded with the action and the caveat; nothing is padded. The trailing 'Returns: Command execution result' is close to boilerplate, but it is brief and does signal that a result comes back.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, so the description carries the burden of explaining the result, and 'Command execution result' is too vague to tell the agent what a step-over yields (new instruction pointer, stop reason, error when not paused). Combined with the missing paused-state prerequisite in a large debugger sibling set, this leaves important gaps for a stepping command.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so per the rubric the baseline is 4; the empty schema leaves nothing that the description needs to disambiguate. There is no parameter behavior for the description to add or omit.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Names a specific verb and resource ('Step over the next instruction'), and 'step over' is a term of art that implicitly differs from DebugStepIn and DebugStepOut. However, it never names or contrasts those siblings, so the agent must rely on prior debugger knowledge to pick correctly among the three stepping tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no when-to-use guidance and no exclusions relative to DebugStepIn, DebugStepOut, DebugRun, or DebugPause. It also omits the prerequisite that the debuggee must already be paused, and does not tell the agent to follow up with WaitForPause to observe the step completing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
DebugStopBDestructiveIdempotent
Stop debugging using Script API
Returns: Status message
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, idempotentHint=true, and openWorldHint=true, so the safety profile is covered. The description adds only that the operation goes through the 'Script API' and returns a status message; it does not say whether stopping detaches from or terminates the debuggee, which is exactly what an agent needs for a destructive call.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely short and front-loaded, with the action stated first. The 'Returns: Status message' line is slightly lean but does convey the shape of the response in the absence of an output schema.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, low-complexity tool whose annotations already carry the safety traits, the description is close to adequate. Still missing is any statement of the effect on the debug session or process, which is the one piece of context an agent would want before invoking a destructive stop.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: 'Stop debugging'. That is unambiguous on its own, though it never distinguishes itself from close siblings like DebugPause, WaitForPause, or WaitForExit, which an agent must disambiguate by name alone.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as DebugPause (which suspends rather than ends a session). The agent is given no help choosing between this and the other debug-control tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
DisasmRangeBRead-onlyIdempotent
Disassemble a raw address range without guessing function bounds.
Pages resume from the opaque nextCursor address.
| Name | Required | Description | Default |
|---|---|---|---|
| end | Yes | ||
| start | Yes | ||
| cursor | No | ||
| detail | No | ||
| max_instructions | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, openWorld, and non-destructive, so the safety profile is covered. The description adds real behavioral value beyond that: it discloses pagination behavior and that continuation is driven by an opaque cursor token. The only wrinkle is that it calls the token 'nextCursor' while the input parameter is named 'cursor', which slightly blurs how to resume.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences, zero filler, with the core purpose front-loaded and the pagination note second. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a five-parameter tool with no schema descriptions and no output schema, the definition is too thin. It omits address encoding, the semantics of 'detail' and 'max_instructions', and any indication of the return shape or how paging terminates, leaving an agent unable to invoke it confidently beyond the trivial case.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% across five parameters, so the description carries the full burden and largely fails: it never explains the address format for start/end, the meaning of 'detail', or what max_instructions (default 4096) controls. The only parameter-adjacent hint is 'nextCursor', which is not even an input parameter name.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('Disassemble a raw address range') and scopes it with the qualifier 'without guessing function bounds', which signals it differs from any boundary-inferring disassembly path. It is clear and specific, but it never names a sibling tool to contrast against, so the differentiation is implicit rather than explicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'without guessing function bounds' implies the tool is the right choice when the caller already knows the exact range, and the second sentence tells the agent how to continue paging. However, there is no explicit when-not guidance, no mention of prerequisites, and no alternative tool named for the case where function bounds are unknown.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
DumpModuleADestructive
Produce a VERIFIED unpacked dump of a module to disk. With find_oep=True (default) this drives the packer-agnostic OEP engine (FindOEP) — which works for the unpack-in-memory-then-jump class (UPX, ASPack, FSG, MPRESS, PECompact, Petite, simple crypters) — then dumps via Scylla and VERIFIES the result before reporting ok: the entry must have moved out of the packer stub to the real OEP, the IAT must resolve cleanly (no garbage descriptors), and the imports must be non-trivial. A dump that merely landed on disk is NOT a success. On failure it returns ok:false with a reason and keeps the raw memory dump for manual recovery. Virtualizing protectors have no generic recoverable OEP contract here and are reported honestly (isLikelyVirtualized), never faked. The optional virtualization research backend is disabled in this build.
find_oep=False dumps the selected loaded module at the current/module entry. It still performs independent PE/IAT verification by default and never treats mere file creation as success.
Args:
module: Module name to dump (e.g. "target.exe"). Empty = the main
debuggee module.
output_path: Destination path for the dumped file. Empty = a default
path derived from the module.
find_oep: When True (default) find + verify the OEP before dumping;
when False dump from the current state (no verification).
timeout_ms: Budget for OEP discovery (default 30000).
fix_imports: Reconstruct imports with Scylla (default true).
verify: Require independent PE/IAT verification (default true).
overwrite: Explicitly authorize replacing dump artifacts.
keep_raw_dump: Preserve Scylla's pre-IAT raw image.
iat_start/iat_size: Optional exact live IAT range; both are required together.
module_strategy: auto, overlay, or scylla. Auto uses a reloadable
source-backed executable overlay for non-main DLLs.
timeline_path: Optional unpack-workflow-v1 JSON path. When OEP
discovery is enabled and omitted, <output>.workflow.json is
written automatically.
Returns: {"ok": bool, "verified": bool, "path": str, "exists": bool, "size": int, "module": str, "findOep": bool, "oep"?: str, "confidence"?: str, "reason"?: str, "isLikelyVirtualized"?: bool, "rawDumpPath"?: str, "result": ..., "hint"?: str}.
| Name | Required | Description | Default |
|---|---|---|---|
| module | No | ||
| verify | No | ||
| find_oep | No | ||
| iat_size | No | ||
| iat_start | No | ||
| overwrite | No | ||
| timeout_ms | No | ||
| fix_imports | No | ||
| output_path | No | ||
| keep_raw_dump | No | ||
| timeline_path | No | ||
| create_new_iat | No | ||
| module_strategy | No | auto | |
| advanced_iat_search | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare destructiveHint=true/idempotentHint=false/openWorldHint=true; the description adds what actually matters beyond that: dumps write to disk, verification criteria (OEP moved, clean IAT, non-trivial imports), that file creation alone is NOT success, that failures retain the raw dump for manual recovery, that results are never faked for virtualized protectors, and that overwrite explicitly authorizes replacement.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded with the core promise and organized into prose plus an Args/Returns block, which suits a 14-param tool. It is longer than necessary, with some restatement ('a dump that merely landed on disk is NOT a success' is echoed as 'never treats mere file creation as success').
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema, and the description compensates with an inline Returns shape covering ok/verified/path/exists/size/reason/isLikelyVirtualized/rawDumpPath. Combined with the detailed arg semantics and the annotation-supplied safety profile, an agent has everything needed to call this correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the burden, and it documents most of the 14 params with real semantics: module default, iat_start/iat_size must be supplied together, module_strategy values (auto/overlay/scylla) and what auto does, keep_raw_dump meaning, plus find_oep/verify/fix_imports behavior. However create_new_iat and advanced_iat_search are left entirely unexplained in both schema and description, so compensation is strong but not complete.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Opens with a specific verb+resource+quality bar: 'Produce a VERIFIED unpacked dump of a module to disk.' It also distinguishes itself from siblings by describing the internal flow (FindOEP engine -> Scylla dump -> verification) rather than a generic 'dump' operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states the when/when-not for the central toggle (find_oep=True for packer-agnostic OEP recovery on UPX/ASPack/FSG/MPRESS/etc.; find_oep=False to dump at current/module entry), and states that virtualizing protectors have no recoverable OEP contract here. It does not, however, route the agent between sibling tools like FindOEP, DumpPeFromMemory, or ValidateDump, so the guidance stops short of full alternative comparison.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
DumpPeFromMemoryADestructive
Reconstruct a disk-layout PE from a loaded memory-layout image.
For destroyed/headerless images, header_template_path is accepted
only after executable-section identity verification by default.
Writable sections are reset from the bound template by default so CRT
and loader state captured after DllMain cannot poison a later reload.
entry_rva_override is bounded to an executable template section and
can record a recovered manual-loader OEP without trusting stale headers.
source_layout=auto|memory|disk also supports an embedded reflective
raw PE staged inside a larger private allocation.
| Name | Required | Description | Default |
|---|---|---|---|
| base | Yes | ||
| verify | No | ||
| overwrite | No | ||
| image_size | No | ||
| output_path | Yes | ||
| source_layout | No | auto | |
| entry_rva_override | No | ||
| reverse_relocations | No | ||
| header_template_path | No | ||
| verify_template_identity | No | ||
| minimum_template_similarity | No | ||
| reset_mutable_sections_from_template | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, readOnlyHint=false, openWorldHint=true, and idempotentHint=false, but the description adds genuinely non-obvious behavioral context: writable sections are reset from the bound template so CRT/loader state cannot poison reload, header templates are accepted only after executable-section identity verification, and entry_rva_override is bounded to an executable template section. This extra detail goes meaningfully beyond the safety flags, though it omits what output is produced and error behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded with a one-line purpose followed by focused sentences about specific parameters and behaviors; each sentence carries domain-relevant content rather than filler. Density is high and appropriate for the complexity, though a couple of clauses (e.g. the reflective-PE note) could be tightened.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 12-parameter mutation tool with no output schema and 0% schema coverage, the description covers the most subtle behaviors but does not address many parameters, does not state where the reconstructed PE is written or what happens on failure, and does not clarify relationships such as how image_size interacts with source_layout. Adequate but with clear gaps for a tool this complex.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must carry the burden. It explains several parameters (header_template_path, entry_rva_override, source_layout, and implicitly verify_template_identity and reset_mutable_sections_from_template) with real semantic meaning, but leaves base, output_path, verify, overwrite, image_size, reverse_relocations, and minimum_template_similarity entirely unexplained, leaving half the surface undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('Reconstruct a disk-layout PE from a loaded memory-layout image'), which is far more precise than a tautology and clearly distinguishes the reconstruction task from inspection siblings like GetExports or DisasmRange. It does not, however, explicitly name the closest siblings (DumpModule, ValidateDump) to route the agent, 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.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context by describing scenarios ('destroyed/headerless images', 'embedded reflective raw PE staged inside a larger private allocation'), which tells the agent when certain features apply. But there is no explicit when-to-use-this-vs-DumpModule/ValidateDump guidance and no stated prerequisites or exclusions, leaving the agent to infer routing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
EnsureReadyARead-onlyIdempotent
One-call health check.
Returns {ok, reasons[], hints[]}. Tells whether x64dbg is running, a process is loaded, it is paused, and whether analysis has been run.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly/idempotent/non-destructive/openWorld, so the safety profile is covered. The description adds real value beyond them by disclosing the exact conditions checked and the return shape {ok, reasons[], hints[]}, which tells the agent what preconditions this verifies before a debug workflow.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three tight lines with zero filler; the core purpose ('One-call health check') is front-loaded and the enumerated checks and return shape follow immediately. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, so the description carries the return-value burden and does so by naming {ok, reasons[], hints[]} plus the verified conditions. It stops short of explaining how a caller should react to ok=false or what the hints contain, but for a zero-arg readiness probe it is largely self-sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Zero parameters, so the 4 baseline applies. The empty schema and the 'one-call' framing are consistent; nothing about arguments needs additional explanation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource: 'health check' that 'tells whether x64dbg is running, a process is loaded, it is paused, and whether analysis has been run.' The scope is concrete and enumerable, though it never names a sibling tool to differentiate itself from other state-inspection tools like GetDebugState.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
'One-call health check' implies it is a preflight step before other debug operations, but there is no explicit when-to-use, when-not, or alternative (e.g., vs GetDebugState/WaitForPause). Usage must be inferred from the name and the enumerated checks.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
EvalBatchCRead-onlyIdempotent
Evaluate a batch of expressions.
Args: expressions_json: JSON array or newline/comma-separated expressions.
| Name | Required | Description | Default |
|---|---|---|---|
| expressions_json | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is covered by structured data. The description adds nothing behavioral beyond that — no statement about the expression language, error behavior for invalid expressions, or whether evaluation has side effects on the debuggee.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short, front-loaded lines with no filler; the purpose leads and the argument format follows. The 'Args:' scaffolding is slightly boilerplate but costs almost nothing.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description should say something about what comes back (per-expression results? failures? partial errors?) and what expression dialect is valid. For a debugger-adjacent evaluator, leaving the language and return shape unspecified is a real gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the single parameter carries no title detail beyond 'Expressions Json'. The description partially compensates by specifying accepted formats ('JSON array or newline/comma-separated expressions'), which is genuinely useful, but says nothing about the expression syntax the evaluator expects.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('Evaluate a batch of expressions'), so an agent immediately knows the operation. However, it does not differentiate itself from any sibling or name a single-expression counterpart, and none of the listed siblings is an obvious alternative, so differentiation is left implicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description contains no when-to-use, when-not-to-use, or prerequisite information. An agent cannot tell from this text whether it should batch expressions here versus stepping through the debugger with DebugStepIn/DebugStepOver first.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ExportRuntimeEvidenceCDestructive
Export static annotations plus hash+RVA runtime evidence for IDA.
| Name | Required | Description | Default |
|---|---|---|---|
| module | No | ||
| overwrite | No | ||
| output_path | No | ||
| api_trace_id | No | ||
| include_static | No | ||
| native_trace_id | No | ||
| dump_artifacts_json | No | ||
| coverage_artifact_json | No | ||
| comparison_recovery_json | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, destructiveHint=true, idempotentHint=false, and openWorldHint=true, so the safety profile is covered. The description adds almost no behavioral context beyond that: it does not say what file is written where, whether overwrite is required for existing output, or what happens when an artifact JSON is absent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler or repetition. It is tight, though the brevity here reflects under-specification rather than disciplined concision.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a nine-parameter, destructive, artifact-producing tool with no output schema and no parameter documentation, the description is far too thin. An agent cannot determine required inputs, artifact pairing rules, or the resulting output location from this text.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Nine parameters with 0% schema description coverage and no format or meaning given in the description. The phrase 'static annotations' loosely gestures at include_static and the trace/artifact ids are never explained, leaving api_trace_id, native_trace_id, dump_artifacts_json, coverage_artifact_json, and comparison_recovery_json entirely undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (Export) and the resource it produces (static annotations plus hash+RVA runtime evidence), and names the target consumer (IDA). It is distinguishable from adjacent tools like ValidateDump or DumpModule, though the jargon 'hash+RVA' is not self-explanatory.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this versus siblings such as ValidateDump, DumpModule, or CaptureStopContextStructured, and no prerequisites, ordering, or exclusion conditions are given. The agent must infer the workflow entirely from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
FindOEPA
Find the Original Entry Point (OEP) of a packed executable and, optionally, produce a VERIFIED unpacked dump.
Engine: a packer-agnostic dynamic approach for the unpack-in-memory-then-jump class (UPX, ASPack, FSG, MPRESS, PECompact, Petite, simple crypters):
ESP-anchor fast-forward -- a hardware breakpoint on the stub's saved register slot skips past the decompression loop and is immune to the page writes that defeat memory breakpoints.
Section-hop conditional trace -- single-steps in the engine until execution enters a non-stub executable section (the OEP). Virtualizing protectors have no generic recoverable OEP contract here; they are reported honestly via isLikelyVirtualized rather than faked. The optional virtualization research backend is disabled in this build.
When dump_to_path is set, the dump is written via Scylla and VERIFIED before ok:true (entry moved out of the packer section to the OEP, IAT resolved, imports richer than the packed baseline). The raw memory dump is always kept, so a failed verification still leaves something for manual recovery.
timeline_to_path optionally writes a canonical unpack-workflow-v1
evidence artifact. Returns {ok, status, stages, artifacts, oepAddr,
detectedVia, confidence, moduleBase, moduleSize, packerEntry, verified,
reason, rawDumpPath, isLikelyVirtualized, ...}.
| Name | Required | Description | Default |
|---|---|---|---|
| timeout_ms | No | ||
| dump_to_path | No | ||
| packer_section | No | ||
| timeline_to_path | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations (readOnlyHint=false, openWorldHint=true, destructiveHint=false, non-idempotent) are consistent, and the description adds substantial behavior beyond them: it writes a dump via Scylla only after verification, always retains the raw memory dump, writes an optional evidence artifact, and declines to fake results for virtualized targets. It omits prerequisites (debug session/process spawn) and timeout behavior, keeping it from a 5.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Key purpose leads, followed by scoping, method, and output notes. The engine internals (ESP-anchor fast-forward, section-hop trace) are longer than an agent needs simply to select the tool, which costs a point, but nothing is redundant and the ordering is sensible.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex, no-output-schema tool, the description compensates well by enumerating return fields (ok, status, stages, oepAddr, verified, rawDumpPath, isLikelyVirtualized, ...) and explaining the verification gate and artifact retention. The uncosted gaps are the untouched timeout_ms and packer_section parameters and unstated execution prerequisites.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the full burden, yet it only addresses half the parameters. dump_to_path and timeline_to_path get real semantics (a Scylla-verified dump; a canonical unpack-workflow-v1 artifact), but timeout_ms and packer_section are never mentioned in the description or the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Opens with a specific verb, resource and scope: 'Find the Original Entry Point (OEP) of a packed executable and, optionally, produce a VERIFIED unpacked dump.' It also distinguishes itself from nearby siblings (DumpPeFromMemory, ValidateDump) by naming the target class and the verification contract.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Specifies the applicable target class (UPX, ASPack, FSG, MPRESS, PECompact, Petite, simple crypters) and an explicit when-not: virtualizing protectors have no generic recoverable OEP contract and are reported via isLikelyVirtualized instead of being unpacked. No sibling alternative is named directly, so it stops short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GetApiTraceLogARead-onlyIdempotent
Read API trace log with pagination.
Args: trace_id: Session id from StartApiTrace. offset: Start index (0-based). limit: Max calls to return (default 100, max 5000). func_filter: Optional case-insensitive substring for "module!func".
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| offset | No | ||
| trace_id | Yes | ||
| after_seq | No | ||
| func_filter | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint false, and openWorldHint, so the safety profile is covered. The description adds useful behavioral context beyond annotations: pagination, a default and maximum limit, and case-insensitive substring filtering. It still does not describe ordering or return structure, but those gaps are minor given the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the purpose sentence, then uses a compact Args block for parameter details. Every sentence is useful and there is no filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 5-parameter tool with no output schema, the description provides the prerequisite trace_id source and documents most parameters. The missing after_seq parameter is a real gap, and ordering/return behavior is not described, so an agent lacks some context needed to use pagination fully correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the burden of documenting parameters. It explains trace_id, offset as 0-based, limit default and max, and func_filter semantics, which is strong compensation. However, the after_seq parameter is completely undocumented in both schema and description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: 'Read API trace log with pagination.' It is distinguishable from siblings such as StartApiTrace, RunApiTrace, and StopApiTrace because it retrieves an existing trace log rather than managing a trace session. It does not explicitly name or contrast with those siblings, so it falls short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage through 'trace_id: Session id from StartApiTrace,' giving the prerequisite session context. However, it does not explicitly say when to use this tool versus alternatives like StartApiTrace or RunApiTrace, and there are no when-not guidelines.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GetCallStackBRead-onlyIdempotent
Get the current call stack of the debugged thread. Returns the full stack trace with addresses, return addresses, and comments.
Returns: Dictionary with: - total: Number of stack frames - entries: List of call stack entries, each with: - addr: Current address in the frame - from: Return address (caller) - to: Called address (callee) - comment: Auto-generated comment (function name, etc.)
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the thread-scoping behavior ('current call stack of the debugged thread'), which is useful, but it omits operational context such as whether the target must be paused or what happens if no session is active. With annotations carrying the safety burden, 3 is appropriate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loads the purpose in one sentence, then itemizes the return structure compactly with no filler. The Returns block is somewhat long but each field (total, addr, from, to, comment) earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description correctly compensates by documenting the return dictionary fields in detail. The remaining gap is the absence of any operational precondition (paused/attached state), which slightly limits completeness for a debug tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline is 4. There is nothing for the description to clarify about inputs, and it does not misrepresent any.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a precise verb and resource: 'Get the current call stack of the debugged thread.' This is clearly distinguishable in concept from sibling inspection tools like GetRegisterDump, GetThreadList, and ReadMemory. It stops short of explicitly naming or contrasting a sibling, so it lands at 4 rather than 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance, no prerequisitives (e.g., that the debuggee must be attached and paused), and no mention of alternatives among the many debug-stage siblings. The agent must infer that this is only meaningful during a paused debug session.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GetDebugStateBRead-onlyIdempotent
Get a normalized debugger state snapshot.
Args: include_console: When true, read visible console text if available. include_callstack: When true, include the current call stack while paused. include_registers: When true, include the current register dump while paused. include_breakpoints: When true, include breakpoint lists and hit counts. include_session: When true, include the raw session payload from the bridge. max_console_chars: Maximum visible console characters to read.
| Name | Required | Description | Default |
|---|---|---|---|
| include_console | No | ||
| include_session | No | ||
| include_callstack | No | ||
| include_registers | No | ||
| max_console_chars | No | ||
| include_breakpoints | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds useful state context ('while paused' for callstack/registers, 'if available' for console), but does not explain what the normalized snapshot looks like when the process is not paused or how the bridge session relates.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Purpose sentence first, then a compact Args block; no filler or redundancy. The structure is standard and front-loaded, though 'normalized' is an unexplained qualifier that adds little.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a read-only, no-output-schema snapshot tool the definition is largely adequate: parameters are explained and the safety profile is in annotations. It falls short of complete because it never states what the aggregate 'normalized' state contains or how the sub-payloads combine, leaving the return shape undefined.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% (only titles and defaults), so the description carries the full burden and does document all six parameters with real meaning beyond their names. It does not restate the defaults that the schema already encodes, and it clarifies the paused-state dependency of several flags.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: 'Get a normalized debugger state snapshot.' An agent can tell it is an aggregate state reader rather than a single-facet reader, though the description never explicitly differentiates from sibling tools like GetCallStack or GetRegisterDump, which fetch overlapping sub-parts.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 given. Given the crowded sibling set (GetCallStack, GetRegisterDump, GetThreadList, GetModuleList), the description should say when this consolidated snapshot is preferable to those single-purpose tools, but it leaves that entirely to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GetExportsCRead-onlyIdempotent
Return the export table for a loaded module.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| module | No | ||
| offset | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and non-destructive, so the safety profile is covered by structured data. The description adds one useful prerequisite ('for a loaded module'), but says nothing about the pagination implied by limit/offset defaults, nor about truncation or error behavior for unloaded modules.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with zero filler. It is clean, though arguably undersized for a tool with three undocumented parameters.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With 0% schema coverage, no output schema, and paginated parameters, the description should carry the burden of explaining module selection and result paging. It does not, and the read-only annotations only partially compensate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% for all three parameters, so the schema provides only names and defaults. The description hints that 'module' selects a loaded module's exports, but limit and offset — which imply paged/truncated results — are left completely unexplained in both schema and description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
'Return the export table for a loaded module' names a specific verb (return) and resource (export table), which is distinguishable from sibling GetImports by direction. It does not explicitly route against neighbors like DumpModule or GetModuleList, but the purpose is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No statement of when to call this versus GetImports, DumpModule, or GetModuleList, and no prerequisites beyond the implicit 'loaded module'. The agent must infer the workflow (load/list modules first) on its own.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GetImportsARead-onlyIdempotent
Return the import table for a loaded module.
If module is empty, uses the current debuggee's main module.
Each entry: {module, function, iatVa, thunkVa}.
Falls back to QuerySymbols('Import*') if the plugin has no dedicated
endpoint. Works on any PE loaded in the debugger.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| module | No | ||
| offset | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive and openWorld, so the safety profile is covered. The description adds genuinely new behavioral context: the empty-module default, the exact entry shape, the QuerySymbols('Import*') fallback, and that it works on any PE in the debugger. Only pagination behavior is left undisclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Four short sentences, front-loaded with the purpose and default behavior, then the return shape, then the fallback. Every sentence carries information, though the fallback sentence is somewhat implementation-detail-heavy for a selection-time description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description compensates by naming the entry fields ({module, function, iatVa, thunkVa}) and the fallback source, which is what an agent needs to trust the result. The unaddressed limit/offset pagination is the only material gap for a read-only tool whose annotations are complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and there are 3 parameters, so the description must carry the load. It explains `module` (empty → current debuggee's main module) but says nothing about `limit` or `offset`, leaving pagination semantics entirely undocumented in both places.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('Return') and resource ('the import table') plus its scope ('for a loaded module'), which cleanly separates it from the sibling GetExports (exports table) and DumpModule. The default-module behavior is stated immediately, so the agent knows exactly what it gets.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives the implicit trigger condition ('for a loaded module'; empty module means main module) and a fallback path, but never says when to prefer this over GetExports, DumpModule, or SearchStrings. Usage is inferable from the resource name rather than explicitly guided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GetModuleListARead-onlyIdempotent
Get list of loaded modules.
Returns: Dictionary with count, modules (list of objects), and summary (human-readable lines).
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the return shape (count, modules, summary), which is real value since no output schema exists, but it says nothing about session prerequisites or the cost of enumeration.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three short lines, front-loaded with the action, and the Returns block is structured rather than prose. Every sentence carries information and nothing is repeated from the schema.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description compensates by naming the return keys, and annotations cover the read-only safety profile. It is nearly complete for a zero-param read tool, though it never states whether a debug session must be attached first.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline of 4 applies; there is nothing for the description to disambiguate, and the empty schema is self-explanatory.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: returns the list of loaded modules, which is a clear, narrow scope an agent can distinguish from GetThreadList or DumpModule. It does not explicitly name a sibling or contrast itself with one, so it stops short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description offers no when-to-use guidance, no prerequisites, and no alternatives among the many debug-session siblings (EnsureReady, AttachToProcess, DumpModule). The intended usage is only implied by the resource name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GetRegisterDumpARead-onlyIdempotent
Get a complete dump of all CPU registers in one call. Returns general purpose registers, segment registers, debug registers, flags, and last error/status information.
Much more efficient than reading registers individually.
Returns: Dictionary with all register values (cax/ccx/cdx/cbx/csp/cbp/csi/cdi, r8-r15 on x64, cip, eflags, segment regs, debug regs, flags object, lastError, lastStatus)
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds useful context by enumerating what the dump contains (general purpose, segment, debug regs, flags, lastError/lastStatus), which goes beyond the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded and reasonably tight, but the return contents are described twice - once in prose ('Returns general purpose registers, segment registers...') and again in a 'Returns:' block - creating mild redundancy that could be trimmed.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, so the description carries the burden of describing the return value, which it does by listing register groups and the flags/lastError/lastStatus fields. It is complete enough to call correctly, though it does not tie into the broader debug workflow.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is no parameter semantics to document; the baseline for a no-arg tool is 4. The description correctly signals a single-call, argument-free retrieval.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('Get a complete dump of all CPU registers'), clearly describing what the tool retrieves. It does not name or differentiate itself from sibling tools that also expose runtime state (GetThreadList, GetCallStack, ReadMemory), so it stops short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'Much more efficient than reading registers individually' hints at when to prefer this tool, but no sibling alternative is named and there is no explicit when-to-use or when-not-to-use guidance. Usage must be inferred from the debugger context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GetSessionBindingBRead-onlyIdempotent
Return the currently bound session identity and whether it matches the live state.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds the useful behavioral detail that the result is a comparison against 'live state', but says nothing about auth requirements, staleness, or what happens when no session is bound.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single tight sentence with the primary output ('session identity') front-loaded before the secondary ('match with live state'). No filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-param read-only getter with no output schema, the description names the two returned facts, which is the minimum an agent needs. However, the shape of 'session identity' and the meaning of 'live state' remain undefined, so a light gap persists.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is nothing for the description to disambiguate. Baseline for a no-arg tool is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('Return') and resource ('currently bound session identity'), plus a secondary result ('whether it matches the live state'). No sibling covers session binding, so there is no differentiation problem, but the term 'session' is never grounded in the debugging domain, keeping it short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to call this versus anything else, nor any precondition (e.g., must a session already be attached?). Among a large debugging toolkit an agent has no cue for when this inspection is warranted.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GetThreadListBRead-onlyIdempotent
Get list of all threads in the debugged process with detailed information.
Returns: Dictionary with: - count: Number of threads - currentThread: Index of the currently focused thread - threads: List of thread objects with threadNumber, threadId, threadName, startAddress, localBase, cip, suspendCount, priority, waitReason, lastError, cycles
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds the return shape, but says nothing about whether the process must be in a paused state or how the snapshot behaves while running — meaningful context for a debugger tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded summary sentence followed by a structured Returns block. The field enumeration is dense but justified because no output schema exists; nothing is padded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description correctly carries the return-value burden by listing count, currentThread and the per-thread fields. The remaining gap is call-time context (required process state), which the description omits.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so per the baseline there is nothing to disambiguate and no schema semantics to compensate for. No misleading parameter hints are present.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (Get) and resource (thread list) scoped to 'the debugged process,' with 'detailed information' signalling the enrichment level. The resource is clearly distinct from siblings like GetModuleList or GetCallStack, though it never explicitly names those alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance at all: no indication that the debuggee should be paused, no relationship to GetCallStack/GetRegisterDump/GetDebugState, and no stated prerequisites. An agent must infer the correct moment to call it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
InitDebuggeeA
Preferred first call when the target executable path is known.
Reliably start a new debuggee with retries and state verification. This tool detects the target architecture, resolves X64DBG_ROOT, starts the matching x32dbg/x64dbg instance, waits for its authenticated bridge, and opens the target. Do not preflight BridgeHello, probe port 8888, or search debugger installation paths manually before calling InitDebuggee.
Args: exe_path: Absolute path to the executable. timeout_ms: Maximum total time to spend retrying. retries: Maximum number of init attempts. stop_first: When true, stop the current debug session before init. use_scyllahide: off (default), auto (same as off), or force (explicit injection). scyllahide_profile: Optional explicit ScyllaHide profile override. arguments: Argument vector excluding argv[0]. Mutually exclusive with command_line. command_line: Explicit Windows command-line tail. working_directory: Current directory for the new process. environment: Per-launch environment overrides. The current bridge reports this unsupported and the call fails explicitly instead of ignoring it. inherit_environment: Whether the target should inherit the debugger environment. stdin: Typed stdin object (inherit/null/file/bytes/pipe). stdout: Typed stdout object (inherit/null/file/pipe). stderr: Typed stderr object (inherit/null/file/pipe). All streams must be explicit together, or all omitted for console inheritance. child_policy: none, attach-first, attach-all, or break-on-create. capture_limit_bytes: Bounded pipe retention/queue capacity in bytes.
| Name | Required | Description | Default |
|---|---|---|---|
| stdin | No | ||
| stderr | No | ||
| stdout | No | ||
| retries | No | ||
| exe_path | Yes | ||
| arguments | No | ||
| stop_first | No | ||
| timeout_ms | No | ||
| environment | No | ||
| child_policy | No | none | |
| command_line | No | ||
| use_scyllahide | No | off | |
| working_directory | No | ||
| scyllahide_profile | No | ||
| capture_limit_bytes | No | ||
| inherit_environment | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false, but the description adds rich context: retries, state verification, architecture detection, authenticated bridge wait, and the important note that `environment` currently fails explicitly rather than silently. Doesn't cover stop_first semantics or what state gets left after partial failure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loads the preferred-call guidance and the high-level behavior before the argparse-style parameter list. A bit long, but for a 16-param tool every line earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 16-param, side-effecting, open-world tool with no output schema and 0% schema description coverage, the description supplies the behavioral context, prerequisites, exclusions, and per-param semantics an agent needs to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the full burden and delivers: documents mutual exclusivity of arguments/command_line, the use_scyllahide off/auto/force semantics, child_policy enum values, stream must-be-all-or-nothing rule, and the unsupported environment behavior. This substantially compensates for the empty schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource ('start a new debuggee') and clearly distinguishes itself from siblings like AttachToProcess by targeting the known-executable-path case. Names prerequisites and lifecycle steps (detect arch, resolve X64DBG_ROOT, start matching dbg instance, open target).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says 'Preferred first call when the target executable path is known' and gives when-not-to-preflight guidance ('Do not preflight BridgeHello, probe port 8888, or search debugger installation paths manually'), directly routing away from BridgeHello and EnsureReady.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
InspectManagedAssemblyCRead-onlyIdempotent
Inspect CLR metadata, type/method tokens and optional bounded IL bytes.
| Name | Required | Description | Default |
|---|---|---|---|
| path | No | ||
| module | No | ||
| max_types | No | ||
| include_il | No | ||
| max_methods | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that IL bytes are optional and bounded, which is useful behavioral detail, but it does not disclose permissions, failure modes, or output limits beyond that.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler. It is efficient and every word contributes, though for a 5-parameter tool with no schema descriptions it is arguably undersized rather than fully appropriate.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 5 undocumented parameters, no output schema, and no usage guidance, the description is too thin to tell an agent how to invoke the tool correctly. It covers the tool's broad purpose but omits parameter meaning, required inputs (none are required), and when this inspection should be preferred over siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% for all 5 parameters, so the description must compensate. It hints at type/method tokens and optional bounded IL bytes, which loosely maps to max_types, max_methods, and include_il, but it says nothing about path, module, or the meaning of the numeric bounds.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (Inspect) and resource (CLR metadata, type/method tokens, bounded IL bytes). It clearly identifies the domain of managed assembly inspection, though it does not explicitly differentiate itself from siblings like CaptureManagedRuntimeState, DumpModule, or DisasmRange.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides no guidance on when to use this tool versus alternatives such as CaptureManagedRuntimeState or DumpModule. The agent can infer it targets managed assemblies, but no explicit context, prerequisites, or exclusions are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MemoryWriteBDestructiveIdempotent
Write memory using enhanced Script API
Parameters: addr: Memory address (in hex format, e.g. "0x1000") data: Hexadecimal string representing the data to write
Returns: Structured write/verification result from bridge v2 (legacy bridges may still return a status string).
| Name | Required | Description | Default |
|---|---|---|---|
| addr | Yes | ||
| data | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the full safety profile (destructiveHint=true, idempotentHint=true, readOnlyHint=false, openWorldHint=true), so the bar is low. The description adds value by disclosing that the return shape varies by bridge version ('legacy bridges may still return a status string'), but it gives no warning about the destructive nature of overwriting memory or permission requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded with the core action, then cleanly sectioned into Parameters and Returns. No sentence is wasted, though the vague 'enhanced Script API' phrase adds length without information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the Returns note is valuable, and both parameters are documented. But for a destructive mutation tool sitting in a large debugging sibling set, the absence of any 'when to use' or safety context leaves it only minimally complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the full burden and does so well: it formats 'addr' as hex with a concrete example ("0x1000") and defines 'data' as a hexadecimal string. Both parameters gain semantic meaning absent from the schema, though no length/alignment constraints are given.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('Write memory'), which cleanly distinguishes it from the clearly-paired ReadMemory sibling. However, 'using enhanced Script API' is an unexplained mechanism reference that doesn't help an agent understand the tool's role any better.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use MemoryWrite versus alternatives like EvalBatch or SetBreakpointWithCapture, nor any prerequisites. The agent must infer usage entirely from the name and the sibling list.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ReadMemoryARead-onlyIdempotent
Read a memory range in a RE-friendly format.
Args:
addr: Address or expression such as 0x401000, module!func+0x10, or [rbp+0x20].
size: Number of bytes to read.
ty: One of hex, bytes, ascii, utf8, utf16, u8, u16, u32, u64.
max_chars: Text decoding limit for ascii/utf8/utf16 views.
| Name | Required | Description | Default |
|---|---|---|---|
| ty | No | bytes | |
| addr | Yes | ||
| size | Yes | ||
| max_chars | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, covering the safety profile. The description adds some context about output format ('RE-friendly format') and that max_chars applies to text views, but does not disclose behavior for invalid/unmapped addresses or error conditions, so it adds modest value beyond the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One-line purpose statement up front, followed by a compact Args block. Every line adds information; nothing is redundant or padded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a read tool with no output schema, the description should clarify what 'RE-friendly format' actually returns (hex string, byte array, etc.) and how failures on unmapped memory are surfaced. It covers inputs well but leaves the output and error picture undefined, which is a noticeable gap given there is no output schema to compensate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the full burden and does so well: it documents all four parameters, gives concrete address-format examples (`0x401000`, `module!func+0x10`, `[rbp+0x20]`), enumerates every valid value for ty, and clarifies that max_chars only affects ascii/utf8/utf16 decoding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: 'Read a memory range in a RE-friendly format.' An agent can immediately tell this reads memory (distinct from the MemoryWrite sibling). However, it does not differentiate itself from other read-oriented siblings like DumpPeFromMemory or DisasmRange, so it falls short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No when-to-use, when-not-to-use, or alternative guidance is provided. The agent must infer from the name alone that this is the generic memory-read tool versus DumpModule/DumpPeFromMemory/DisasmRange for specialized reads. No prerequisites or context are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
RecoverComparisonSecretARead-onlyIdempotent
Recover comparison candidates from exact API-trace operand evidence.
This consumes completed strcmp/strncmp/memcmp/wide-string calls. With a known probe it distinguishes the user-controlled operand and recovers a direct peer or a single-byte-XOR-transformed peer. A returned candidate must still be verified with an independent launch of the target.
| Name | Required | Description | Default |
|---|---|---|---|
| probe | No | ||
| trace_id | Yes | ||
| overwrite | No | ||
| transform | No | auto | |
| probe_format | No | utf8 | |
| evidence_path | No | ||
| expected_operand | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly=true, idempotent=true, openWorld=true, destructive=false, so the safety profile is covered. The description adds genuinely useful behavioral context: it requires a prior completed trace, distinguishes the user-controlled operand, and can return either a direct peer or a single-byte-XOR-transformed peer that still needs independent verification.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences, front-loaded with the core purpose followed by preconditions and the verification caveat. Efficient, though the prose is dense and jargon-heavy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists and 7 parameters are undescribed, so the description should do more. It does convey what is recovered and that results need verification, but leaves return shape, the role of most parameters, and the meaning of 'transform' fixed to auto largely unaddressed for a tool of this complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% across 7 parameters, so the description must carry the load, but it only implicitly touches 'probe' and 'transform' (via the XOR mention). trace_id, evidence_path, overwrite, probe_format, and expected_operand are undocumented in both the schema and the description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource+scope: 'Recover comparison candidates from exact API-trace operand evidence.' This is clearly distinguishable from the many debug/trace siblings since no other tool recovers comparison operands. It does not explicitly contrast with a sibling, but the purpose is unambiguous and specific.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives clear operating context: it 'consumes completed strcmp/strncmp/memcmp/wide-string calls' and requires 'a known probe,' and it mandates verification via 'an independent launch of the target.' No explicit when-not or named alternative among siblings, but the preconditions and required follow-up are well stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
RunApiTraceA
Run the debuggee and collect API calls into the given trace session.
Blocks until either max_calls calls are recorded, timeout_ms elapses,
or the debuggee exits. Returns compact summary; use GetApiTraceLog for
per-call details.
| Name | Required | Description | Default |
|---|---|---|---|
| trace_id | Yes | ||
| max_calls | No | ||
| timeout_ms | No | ||
| drain_returns | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Adds real behavioral context beyond annotations: the call blocks until one of three termination conditions fires (max_calls reached, timeout_ms elapsed, or debuggee exit), and it returns only a compact summary. Annotations only declare the safety profile (openWorld, non-idempotent), so the blocking semantics are genuinely additive info.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three compact sentences, front-loaded with the core action, then the blocking/termination semantics, then the follow-up pointer. No wasted text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, and the description does address the return surface ('compact summary') and points to GetApiTraceLog for detail. It leaves the contents of the summary and the role of trace_id/drain_returns unstated, a minor gap for a moderately simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must carry parameter meaning. It meaningfully explains max_calls and timeout_ms by casting them as termination conditions, but trace_id and drain_returns are never explained, leaving half the parameters undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource: 'Run the debuggee and collect API calls into the given trace session.' It routes detailed inspection to a named sibling (GetApiTraceLog), but does not distinguish itself from the nearby lifecycle siblings StartApiTrace/StopApiTrace, so sibling differentiation is only partial.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives clear operational context (run debuggee and gather calls into an existing trace session) and explicitly names the alternative for per-call detail. It does not state prerequisites relative to StartApiTrace/StopApiTrace, but the when-to-use condition is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
SearchStringsARead-onlyIdempotent
Search ASCII/UTF-16 strings referenced by the current debuggee module.
Uses x64dbg's strref view under the hood, then filters client-side.
Returns deterministic pages of matches with module/RVA identity.
detail=full adds scan diagnostics but does not bypass pagination.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| regex | No | ||
| detail | No | ||
| module | No | ||
| offset | No | ||
| pattern | Yes | ||
| encoding | No | auto | |
| case_sensitive | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover the safety profile (readOnly, idempotent, non-destructive, openWorld), so the description's added value is in scope and output behavior: only module-referenced strings are searched, filtering happens client-side, results are deterministically paged with module/RVA identity, and detail=full adds diagnostics without bypassing pagination. That last point pre-empts a common agent misconception about escaping paging, which is genuinely useful.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three short, front-loaded sentences with no filler. Purpose, mechanism, and pagination caveat are ordered by importance, and nothing restates the tool name or annotations.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a read-only search with no output schema and no annotation gaps, the description supplies the essentials: the module-scoped search domain, deterministic paging, result identity (module/RVA), and the detail flag's limitation. It falls short only on parameter-level semantics, which the empty schema leaves entirely to the reader.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% across 8 parameters, so the description carries the full explanatory burden. It only covers 'detail' (full) and gestures at pagination and the ASCII/UTF-16 encoding choice; regex mode, case_sensitive, module selection, and limit/offset semantics are entirely undocumented in both schema and description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('Search ASCII/UTF-16 strings') and narrows the scope precisely ('referenced by the current debuggee module'), which is a meaningful constraint an agent can act on. None of the sibling tools (ReadMemory, GetModuleList, DisasmRange, etc.) overlap with this operation, so it is readily distinguishable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied: the description explains the underlying mechanism (x64dbg strref view) and the post-filtering step, from which an agent can infer this is for locating strings inside a loaded module. There is no explicit when-to-use/when-not guidance and no mention of alternatives for adjacent needs (e.g. raw memory scanning via ReadMemory).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
SetBreakpointWithCaptureC
Set a breakpoint, wait for it to hit, and capture structured context.
| Name | Required | Description | Default |
|---|---|---|---|
| addr | Yes | ||
| resume | No | ||
| timeout_ms | No | ||
| ranges_json | No | ||
| registers_json | No | ||
| delete_after_hit | No | ||
| expressions_json | No | ||
| stack_slots_json | No | ||
| max_skip_breakpoints | No | ||
| ignore_foreign_breakpoints | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, idempotentHint=false, and destructiveHint=false, so the agent knows this mutates debug state but is not destructive. The description adds the blocking wait-for-hit semantics, which is useful. However it says nothing about timeout expiry behavior (despite a 10s default timeout_ms), whether the breakpoint persists or is deleted, or what 'structured context' actually contains.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with zero filler, which is structurally efficient. It is arguably too terse for a 10-parameter tool, but that under-specification is penalized under other dimensions rather than here.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 10-parameter debugger mutation with no output schema and zero schema description coverage, one sentence is wholly inadequate. An agent cannot determine what capture is performed, what the JSON blob parameters expect, or what happens on timeout without consulting documentation outside this definition.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% across 10 parameters, so the description carries the full burden and adds nothing. Parameters like ranges_json, registers_json, expressions_json, stack_slots_json, max_skip_breakpoints, ignore_foreign_breakpoints, and delete_after_hit are completely opaque from name alone, and the description does not clarify any of them.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description gives a specific verb sequence and resource: set a breakpoint, wait for it to hit, capture structured context. That distinguishes it from DebugDeleteBreakpoint, WaitForPause, and CaptureStopContextStructured reasonably well as a composite one-shot action, though it never explicitly says how it differs from chaining those siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this versus DebugDeleteBreakpoint + WaitForPause + CaptureStopContextStructured, or versus simply setting a breakpoint. There is also no mention of prerequisites such as the debuggee being attached or initialized. The agent must infer the scenario entirely.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
StartApiTraceA
Set up (but do not yet run) an API call trace session.
Enumerates imports matching filter_json in modules_json and sets
silent+continue-on-hit breakpoints on each target. Use RunApiTrace to
drive the debuggee and collect calls.
Args:
modules_json: JSON array of module names (e.g. ["kernel32.dll","ws2_32.dll"]).
Empty → typical OS modules (kernel32/user32/advapi32/ws2_32/wininet/ntdll).
filter_json: JSON array of substrings to match module!func.
Empty → DEFAULT_API_FILTERS (file I/O, memory, process, net, crypto, etc.)
custom_targets_json: Strict JSON array of explicit loaded-module
targets. Each item selects exactly one symbol, RVA, or address.
kind="import-resolver" records custom/hash resolver returns as
exact PE exports using supplied resolver argument metadata.
arg_count: Number of args to sample per call (default 4, max 8).
label: Optional session label.
max_targets: Max number of BPs to actually set (default 200). If the
filter matches more, returns an error listing counts per module so
the caller can narrow the filter.
subscribe_modules: Periodically discover matching exports in modules
that load after the trace starts.
discover_dynamic_resolvers: Add a bounded owned breakpoint for a
matching function pointer returned by GetProcAddress.
native_return_hooks: Let the native breakpoint callback install and
remove return hooks. Python remains a fail-safe if native
scheduling is unavailable or rejects a hook.
Returns summary: {ok, traceId, targetCount, modules, filters, warnings}.
| Name | Required | Description | Default |
|---|---|---|---|
| label | No | ||
| arg_count | No | ||
| filter_json | No | ||
| max_targets | No | ||
| modules_json | No | ||
| caller_filter | No | ||
| max_out_bytes | No | ||
| capture_returns | No | ||
| capture_callstack | No | ||
| subscribe_modules | No | ||
| decode_string_args | No | ||
| custom_targets_json | No | ||
| native_return_hooks | No | ||
| max_callstack_frames | No | ||
| collapse_nested_families | No | ||
| discover_dynamic_resolvers | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations only give the generic profile (readOnly=false, openWorld=true, non-idempotent). The description goes well beyond them: breakpoints are 'silent+continue-on-hit', there is a 200-BP cap that surfaces an error listing per-module counts, native vs. Python return-hook fallback is described, and the return summary shape is enumerated. That is meaningful operation-level disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loads the purpose and the RunApiTrace handoff, then uses a clean Args block with the return summary last. The custom_targets_json entry is dense but each sentence carries real information; only minor trimming is possible.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 16-parameter session-setup tool with no output schema, the description covers the core mechanics and return summary well, but seven parameters are left entirely undefined and no prerequisite (debuggee must already be initialized/attached) is stated. Adequate, with clear gaps for a tool of this complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the full burden, and it documents 9 of 16 params with defaults, examples and non-obvious semantics (empty-string fallbacks for modules_json/filter_json, custom_targets_json selection rules and kind='import-resolver'). Gaps remain for caller_filter, max_out_bytes, capture_returns/callstack, decode_string_args, max_callstack_frames and collapse_nested_families, though several are guessable from their names.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The first line gives a precise verb+resource ('Set up ... an API call trace session') and immediately bounds the scope with '(but do not yet run)'. It also distinguishes itself from the sibling RunApiTrace by naming it and stating what that tool does. An agent can pick this over RunApiTrace/StopApiTrace without opening any schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It clearly routes the caller: setup happens here, execution happens in RunApiTrace. The max_targets error path also tells the caller how to recover (narrow the filter). It stops short of stating prerequisites (InitDebuggee/AttachToProcess appear as siblings but are never referenced) or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
StopApiTraceBDestructiveIdempotent
Stop a running API trace and optionally delete its breakpoints.
| Name | Required | Description | Default |
|---|---|---|---|
| trace_id | Yes | ||
| delete_breakpoints | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, idempotentHint=true and readOnlyHint=false, so the safety profile is covered. The description adds useful context that breakpoint deletion occurs as part of stopping, but it omits what happens to the captured trace data (e.g., whether it remains retrievable via GetApiTraceLog) and does not clarify the 'optionally' framing against a delete flag that defaults to true.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single efficient sentence with the primary action front-loaded and the optional side effect trailing. There is no wasted wording, though the extreme brevity leaves room the definition could have profitably used.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a destructive, open-world mutation tool with no output schema and 0% parameter coverage, the description is too thin. It does not explain the lifecycle impact of stopping a trace, whether the log survives, or the trace_id's origin, leaving the agent under-informed about consequences.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% for both parameters. The description partially compensates for 'delete_breakpoints' by mentioning breakpoint deletion, but it hides that this flag defaults to true, and 'trace_id' is left entirely undocumented as to source or format. With both parameters undocumented and a default left invisible, this falls below the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('Stop a running API trace') plus a secondary action ('optionally delete its breakpoints'), so the agent knows exactly what the tool does. It does not explicitly name the trace-family siblings (StartApiTrace, RunApiTrace, GetApiTraceLog) to differentiate itself, so it stops short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The qualifier 'running' implies the precondition that a trace must already be active, which hints at the StartApiTrace → StopApiTrace pairing. However, it never says when to use this versus related stop tools like DebugStop, nor does it state any exclusions or prerequisites explicitly.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ValidateDumpBRead-onlyIdempotent
Validate PE structure/imports and optionally run a bounded smoke process.
The optional isolated run is placed in a kill-on-close Windows Job
Object so descendants cannot outlive the validation. network_policy
remains an explicit policy marker; this process-local harness does not
pretend to be a firewall sandbox.
| Name | Required | Description | Default |
|---|---|---|---|
| dump_path | Yes | ||
| timeout_ms | No | ||
| run_isolated | No | ||
| arguments_json | No | [] | |
| network_policy | No | deny | |
| crash_report_path | No | ||
| expected_exit_code | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds meaningful behavioral context beyond the annotations: it explains the kill-on-close Windows Job Object isolation, that descendants cannot outlive validation, and candidly states network_policy is a policy marker rather than a real firewall. This is valuable and non-obvious. It doesn't, however, describe what the validation returns or what failures look like.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two focused paragraphs with no filler; the isolation guarantee is stated up front. Minor redundancy between 'optional isolated run' and 'run_isolated' but overall tight.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 7-parameter tool with 0% schema coverage and no output schema, the description is incomplete. It covers the isolation mechanism well but leaves most parameter semantics and return behavior unaddressed, making it borderline adequate for an agent to call correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and seven parameters exist, so the description must compensate. It only clarifies run_isolated behavior and network_policy semantics; timeout_ms, arguments_json, crash_report_path, and expected_exit_code are left entirely undocumented in both schema and description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: validating PE structure/imports and optionally running a bounded smoke process. This distinguishes it from read-only siblings like GetImports or GetExports, which return data rather than validate. However, it doesn't explicitly contrast with DumpPeFromMemory, AttachToProcess, or DebugRun, which also involve process/PE handling.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit when-to-use guidance is given. It does not say when to enable run_isolated vs. leave it off, nor when this tool is preferred over DebugRun or AttachToProcess. The agent must infer usage from the description alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
WaitForExitCRead-onlyIdempotent
Wait until the debuggee exits.
| Name | Required | Description | Default |
|---|---|---|---|
| poll_ms | No | ||
| timeout_ms | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover the safety profile (readOnly, idempotent, non-destructive, openWorld), so the bar is lower, but the description adds almost nothing behavioral. It does not say whether the call blocks, what happens when timeout_ms elapses (error, partial result, or silent return), or whether poll_ms affects latency versus CPU cost — critical traits for a polling wait tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with zero filler, which is appropriate for a narrow tool. It is concise to the point of under-specification, but nothing is wasted or buried.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a blocking wait with a 10s default timeout and no output schema, the agent needs to know termination vs timeout behavior and how this differs from WaitForPause. Both are absent, so the definition is incomplete for correct invocation even though the core purpose is stated.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the full burden for poll_ms and timeout_ms and adds nothing — neither parameter is mentioned. Titles ('Poll Ms', 'Timeout Ms') and defaults are the only signal, leaving the timeout unit/semantics and polling tradeoff undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb+resource ('Wait until the debuggee exits'), which is clear enough that an agent can distinguish it from most siblings. However, it never names WaitForPause, the sibling it is most easily confused with, so the exit-vs-pause distinction must be inferred from the tool names alone.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance, no stated prerequisites (e.g., a debuggee must already be attached/running), and no mention of WaitForPause as the alternative for non-termination waits. The agent must guess the call context entirely.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
WaitForPauseCRead-onlyIdempotent
Wait until the debuggee reaches a paused state or exits.
| Name | Required | Description | Default |
|---|---|---|---|
| poll_ms | No | ||
| timeout_ms | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, openWorld and non-destructive, so safety is covered. The description adds that the call is blocking and terminates on either pause or exit, which is useful, but it omits what happens on timeout (the 10s default), whether it returns the resulting state, and whether concurrent waiters are safe.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no waste. It is appropriately sized for a simple wait primitive, though it could have spent one more sentence on timeout/return behavior without becoming bloated.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a blocking wait tool with two undocumented parameters and no output schema, the description leaves key questions open: what does it return (paused state, exit code, or nothing), what happens on timeout, and how it differs from WaitForExit. Incomplete for the tool's complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% for two parameters (poll_ms, timeout_ms), and the description provides no parameter information at all. With no enum hints or defaults explained, the agent gets no syntax or semantics beyond the raw property names — a clear gap the description fails to compensate for.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clear verb+resource: it waits until the debuggee is paused or exits. However, it is not differentiated from the sibling WaitForExit — the description actually claims overlapping territory ('or exits') without explaining which of the two an agent should prefer.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance and no mention of alternatives such as WaitForExit, DebugPause, or GetDebugState. The agent must infer that this is a blocking synchronization primitive from the verb alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
40 tool updates
v0.1.9- First observed
AttachToProcess - First observed
BridgeHello - First observed
CaptureManagedRuntimeState - First observed
CaptureStopContextStructured - First observed
DebugDeleteBreakpoint - First observed
DebugPause - First observed
DebugRun - First observed
DebugStepIn - First observed
DebugStepOut - First observed
DebugStepOver - First observed
DebugStop - First observed
DisasmRange - First observed
DumpModule - First observed
DumpPeFromMemory - First observed
EnsureReady - First observed
EvalBatch - First observed
ExportRuntimeEvidence - First observed
FindOEP - First observed
GetApiTraceLog - First observed
GetCallStack - First observed
GetDebugState - First observed
GetExports - First observed
GetImports - First observed
GetModuleList - First observed
GetRegisterDump - First observed
GetSessionBinding - First observed
GetThreadList - First observed
InitDebuggee - First observed
InspectManagedAssembly - First observed
MemoryWrite - First observed
ReadMemory - First observed
RecoverComparisonSecret - First observed
RunApiTrace - First observed
SearchStrings - First observed
SetBreakpointWithCapture - First observed
StartApiTrace - First observed
StopApiTrace - First observed
ValidateDump - First observed
WaitForExit - First observed
WaitForPause
TDQS
Scored across 40 tools
Many tools are clearly distinct, but several clusters overlap: FindOEP, DumpModule, DumpPeFromMemory, and ValidateDump all concern dumping/unpacking, while GetDebugState, CaptureStopContextStructured, GetRegisterDump, GetCallStack, BridgeHello, GetSessionBinding, and EnsureReady expose overlapping state/health/session information. Descriptions clarify intended use, so selection is usually possible, but the boundaries are not always crisp.
All tool names use PascalCase with no snake_case or camelCase mixing, and most follow a Verb+Object pattern such as GetModuleList, ReadMemory, and DumpModule. Minor deviations like MemoryWrite, BridgeHello, and EnsureReady are still readable, so consistency is good but not perfect.
40 tools is heavy for this server. While a debugger and reverse-engineering automation domain can justify many capabilities, the surface splits some workflows across multiple overlapping tools and exceeds the 25+ threshold that the rubric treats as too many for the apparent scope.
The surface covers startup/attach, run control, memory, registers, modules/imports/exports, callstack, tracing, managed inspection, and dumping/unpacking. Gaps remain in breakpoint lifecycle, such as no standalone set/list/enable/disable tools, and no detach/restart/kill process control, but most can be worked around via existing state and capture tools.
Maintenance
Related MCP Connectors
Security research canary remote MCP server for owned-account testing.
Experimental MCP server for current empirical verification of explicit public HTTPS endpoint claims.
MCP server for mandates, delegation, policy-gated execution, credential grants, and audit.
Guarded MCP server for agent-readable business truth, provenance, readiness, and discovery.
Related MCP Servers
- FlicenseBqualityDmaintenanceA simple MCP server exposing persistent, scriptable Frida dynamic instrumentation to an AI agent for Windows reversing, malware/security analysis, and dynamic debugging.19-
- AlicenseNot gradedqualityFmaintenanceMCP server for reverse engineering Windows executables and related binary formats, offering static analysis, Ghidra-assisted function recovery, plugin-driven tooling, and optional isolated Windows runtime execution.11 npm240MIT
- AlicenseNot gradedqualityAmaintenanceHeadless reverse engineering MCP server integrating IDA Pro for static analysis and x64dbg for dynamic debugging via controlled MCP tools.5GPL 3.0
- AlicenseNot gradedqualityAmaintenanceMCP server that exposes WinDbg/DbgEng to AI agents over stdio for user-mode, kernel-mode, crash-dump, and Time Travel Debugging workflows.17MIT