fauxnix
fauxnix is an MCP server that runs Linux/bash-style commands natively on Windows by deterministically translating them to PowerShell — no WSL, no VM, no LLM calls at runtime.
bash— execute a single bash-style command: pipes,&&/||/;, redirections,$VAR/$1/"$@"/${var//pat/str}/$(...), arrays, and 109+ coreutils-style commands; unknown tools (git,node,npm, ...) pass through natively. Options:command,timeout_ms(1s–600s).bash_batch— run up to 32 preplanned steps in one round trip, atomically in the same session; all steps compiled before execution, one result per step,stop_on_error(default true), shared timeout and output budgets.Persistent shell session — cwd, environment variables,
export/unset,cd, and positional parameters persist across calls, like a logged-in shell;$0is the tool name.fauxnix_translate— translate a bash command into the equivalent PowerShell script without executing it (read-only, for learning/debugging).fauxnix_session— inspect session state (status: cwd, tracked env keys, positional count, session id) orresetto a fresh shell.Linux-like semantics — GNU-style output formatting, bash-style error messages, UTF-8/GBK handling, and bash exit codes (1 fail, 2 usage, 127 not found, 124 timeout, 130 cancelled); returns structured
stdout/stderr/exitCode/timedOut/cancelled/truncated(256 KiB stdout, 64 KiB stderr caps).Fails loudly on the unsupported — heredocs,
env -i, background&,tail -f,eval,alias, etc. are rejected with actionable errors rather than silently misbehaving;curl/wgetrefuse loopback/private/reserved addresses.Requirements/annotations — needs Windows PowerShell 5.1+ (PS7 via
FAUXNIX_PS=pwsh), returning exit 127 with an actionable error elsewhere;bash/bash_batchare destructive, open-world, non-idempotent, whilefauxnix_translateis read-only andfauxnix_sessionis idempotent.
fauxnix
Run Linux-style commands on Windows — natively, deterministically, no VM, no WSL.
fauxnix is a bash→PowerShell translation layer built for AI agents. Your agent keeps writing the
bash it already knows (ls -la | grep foo, find . -name '*.ts' | wc -l, kill -9 1234), and
fauxnix deterministically translates each command into PowerShell, executes it natively, and hands
back output that looks like GNU/Linux: ls -l columns, bash-style error messages, coreutils exit
codes, UTF-8/GBK handled automatically.
One-command install for Claude Code · Codex · OpenCode · Kimi Code · Qwen Code, plus any MCP client. 109 translated commands · 1,044 automated tests · 270-case Git Bash differential corpus plus 41 supplementary checks · zero LLM calls at runtime.
This checkout prepares v2.0.0. See migration and release notes
for the Node.js requirement, changed file-operation contracts and verification limits.
The npm badge and @latest examples show the published version until publication completes.
Try it now — no install
npx fauxnix-cli@latest "ls -la src | head -3"
npx fauxnix-cli@latest translate "find . -name '*.log' -mtime +7 -delete"$ fauxnix "ls -la src | head -2"
-rw-r--r-- 1 me me 1204 Aug 16 09:12 ast.ts
-rw-r--r-- 1 me me 8192 Aug 16 09:12 cli.ts
$ fauxnix "cat nope.txt"
cat: nope.txt: No such file or directory # not a PowerShell stack traceRelated MCP server: wmux
Connect your agent — one command
npm install -g fauxnix-cli
fauxnix install --claude # or --codex / --opencode / --kimi / --qwen
fauxnix doctor # verifies encoding, harness config, and MCP round-tripIdempotent; prints exactly what changed. Manual configurations below if you prefer to edit config files yourself.
npm package name is
fauxnix-cli(thefauxnixname on npm belongs to an unrelated 2015 websocket library); the installed command isfauxnix. Requires Windows with PowerShell 5.1+ (built-in) and Node.js ≥ 22.20.0. Node 18/20 are unsupported in v2. Current Node 22/24 LTS patches are tested. Published v1.0.0 retains its original metadata.
Claude Code
claude mcp add fauxnix -- fauxnix mcpCodex (~/.codex/config.toml or codex mcp add fauxnix -- fauxnix mcp)
[mcp_servers.fauxnix]
command = "fauxnix"
args = ["mcp"]Note: in non-interactive codex exec mode, MCP tool calls are auto-denied by the approval
layer; pass --dangerously-bypass-approvals-and-sandbox (or run interactively and approve
once).
OpenCode (opencode.json)
{
"mcp": {
"fauxnix": { "type": "local", "command": ["fauxnix", "mcp"] }
}
}Kimi Code — MCP servers live in a JSON file, not the TOML config: ~/.kimi-code/mcp.json
{
"mcpServers": {
"fauxnix": { "command": "fauxnix", "args": ["mcp"] }
}
}Qwen Code (~/.qwen/settings.json)
fauxnix install --qwenThe installer preserves the rest of settings.json and writes an absolute Node + package-entry
launcher so Qwen startup does not depend on its working directory or PATH order. See
the Qwen example for the generated JSON shape.
Any MCP client — stdio server: fauxnix mcp. The tool name is bash (override with
FAUXNIX_TOOL_NAME). The tool description already teaches the model the supported subset, so no
system-prompt changes are required.
Copy-paste quickstarts with a 10-command smoke test per harness: docs/examples/
The MCP session persists cwd, environment variables, export/unset, cd -/OLDPWD, and
positional parameters (set -- / $1 / "$@") across tool calls — it behaves like a logged-in
shell, not a stateless exec. $0 is the MCP tool name, not a Windows path.
For workflows whose commands are already known, the MCP server also exposes bash_batch: it
compiles every step before execution, runs the plan atomically in one session, and returns one
structured result per step in a single MCP round trip (stops on first nonzero exit by default).
{
"steps": [
{ "id": "write", "command": "printf 'a\\r\\nb' > data.txt" },
{ "id": "measure", "command": "wc -c data.txt" }
]
}See compiled MCP batch plans for timeout, budget, cancellation, and preflight semantics.
Experimental: native shell facade
Point Claude Code's built-in Bash tool at fauxnix — no MCP sidecar, zero protocol round trips per command:
fauxnix install --claude-shell # builds a fauxnix-backed bash.exe (~85 MB) and sets
# CLAUDE_CODE_GIT_BASH_PATH; restart Claude Code after
fauxnix doctor # reports the launcher status
fauxnix install --claude-shell-off # restores the previous settingThe launcher is a copy of your own node.exe with the facade bundle injected via Node SEA
(experimental trade-off; the GA plan is a small prebuilt stub). It implements the bash argv
contract (bash -c/-lc, $0/$1 from trailing operands), adapts the harness's private
command scaffolding (captured from a live session — payload execution, cwd markers, snapshot
stubs), and always identifies itself via --version. The harness's own Bash approval flow
governs runs. fauxnix facade also runs standalone. Details, security rules, and the protocol
findings: RFC — native shell facade.
Measured: your model is probably worse at PowerShell than you think
Same model (DeepSeek-V4-Pro), same 5 tasks, three execution modes on one Windows machine —
full data in docs/benchmark-deepseek-v4-pro.md and
docs/benchmark-ark-models.md:
PowerShell | fauxnix | Git Bash | |
tool calls / unexpected errors | 14 / 9 | 7 / 0 | 4 / 0 |
time (T1–T4) | 163s | 66s | 57s |
Across 7 models on the Volcano Ark Coding Plan, the PowerShell-vs-fauxnix gap held for every model tested — worst case (kimi-k2-thinking): 3.1× slower with 24 error events writing PowerShell vs zero errors through fauxnix. fauxnix lands within ~15% of the real-bash ceiling with no bash toolchain installed.
Why
LLM agents are dramatically better at bash than at PowerShell — bash dominates training data, so
models on Windows often produce "looks right, doesn't run" commands (wrong quoting, curl that
isn't curl, mojibake from codepage mismatches, inscrutable CategoryInfo error dumps).
fauxnix | Git Bash | WSL | Raw PowerShell | |
agent writes plain bash | ✓ | ✓ | ✓ | ✗ |
only needs Node (no bash toolchain / VM) | ✓ | ✗ | ✗ (VM, GBs) | ✓ |
native Windows filesystem & environment | ✓ | mostly | ✗ (9P bridge) | ✓ |
differential compatibility | 269/270 cases identical; limits below | GNU reference | GNU tools | different contracts |
CRLF / UTF-8 / GBK traps handled | ✓ | locale-dependent | ✓ | ✗ |
If Git Bash already works for you, keep it — we literally use it as our differential-testing
oracle. fauxnix is for when you can't or don't want to ship one: agent fleets where the bash
toolchain drifts or isn't detected (the Windows ARM64 Git-Bash detection
failure is a live example), CI runners,
locked-down machines, or anywhere a single npm install -g is easier than a toolchain.
fauxnix takes the third road: translate, don't emulate. A large, high-value subset of the Linux command line — file ops, text processing, process management, archives, networking basics — maps cleanly onto PowerShell + .NET. fauxnix implements that subset faithfully and fails loudly and helpfully on what it can't translate, so the agent never gets silently-wrong results. That matters as labs train computer-use agents on Mac fleets — the agent keeps writing bash; fauxnix makes the Windows box answer like the box the agent was trained on (RFC: computer-use parity).
What's translated
109 commands, output-matched against real GNU coreutils on Windows (Git Bash) during development:
files:
ls cp mv rm mkdir rmdir touch mktemp ln readlink realpath basename dirname stat file du df find chmod chown difftext filters:
grep egrep sed awk sort uniq cut tr— sed/awk scripts are parsed while preparing an executable plan (unsupported constructs throw named errors, never silently misbehave)text I/O:
echo printf cat head tail wc tee nl tac md5sum sha1sum sha256sum base64 seq yes xargsshell/system:
cd pwd export unset env printenv ps kill pkill pgrep sleep which type whoami id groups date uname hostname uptime free nproc clear true false test [ [[ : pushd popd dirs sudo timeout man history less more source . eval exit alias set shiftnetwork:
curl wget ping netstat ss ip ifconfig nslookup dig hostarchives:
tar gzip gunzip zcat zip unzip
The curated agent-daily 60 carry a CommandSpec: unknown options fail with a GNU-style
usage error instead of being ignored. The generated docs/command-specs.md
is the exact list, coverage count, option table, and exclusion rationale; fauxnix list --json
exposes the same per-command metadata. find stays unspec'd so predicates like -name still
compile; sed/awk/egrep keep their command-specific parsers; tar remains native to
tar.exe so supported bsdtar options reach the executable. Implemented GNU holes include
cp -n / mv -n / touch -c / tee --append / grep -m / head --lines /
du --max-depth / env -u / ps -f / command -V / date --date=@SECONDS.
Plus shell syntax: pipes, && / || / ;, redirections (> >> 2> 2>&1 < &>, /dev/null),
quoting, $VAR $1 $# "$@" set -- shift, ${name:-word} ${name//pat/str}
${name:off:len} ${name[n]} ${#name[@]}, A=(x y z) array assignment, $(...) command
substitution, VAR=x cmd prefixes, ~ expansion, and POSIX-style path normalization
(/tmp, /d/foo → D:\foo). Exit codes follow bash conventions: 0 ok, 1 fail, 2 usage/serious,
127 command not found, 124 timeout.
Unknown commands (git, node, npm, python, cargo, gh, docker, ...) are passed through natively
with argv-style quoting. Windows .cmd/.bat shims necessarily pass through cmd.exe; fauxnix
preserves its supported punctuation and fails loudly for %, embedded double quotes, NUL, and
line breaks rather than passing a different argument.
How it works
bash command ──parser──▶ AST ──translator──▶ PowerShell script ──executor──▶ selected PowerShell
│
agent ◀── GNU-style output, bash-style errors ◀── UTF-8 framed host protocol ◀┘Deterministic translation, zero LLM calls at runtime.
Each command maps to a generator that emits a self-contained PowerShell block honoring the "Fauxnix contract": string-per-line stdout,
[Console]::Error.WriteLinefor bash-style stderr,$script:fx_exitfor exit codes,$inputfor stdin.The executor wraps every script with UTF-8 enforcement, decodes native output at the process boundary (UTF-8 by default or GBK(936) in
ansimode), strips CLIXML serialization and PowerShell noise from stderr, and rewrites common PowerShell errors (including zh-CN locale messages) into bash phrasing. File reads are always sniffed per file (UTF-8 strict → GBK fallback), so grep/sed/awk over GBK files works in either mode.Scripts run via
-EncodedCommand(UTF-16LE) and transparently fall back to a temp.ps1file when the 32 KB command-line limit would be exceeded.
PowerShell 7 is an opt-in, CI-tested tier: set FAUXNIX_PS=pwsh before starting fauxnix or its
MCP harness. The default is Windows PowerShell 5.1; invalid values fail loudly rather than
falling back. See PowerShell 7 support.
Known deviations (honest list)
fauxnix optimizes for the commands agents actually run. Documented deviations:
X=1standalone assignments followexportsemantics (one session-wide environment; bash's shell-var vs exported-var distinction does not exist), and a same-segment prefix is visible to$VARinside the command's own words (Z=in [[ $Z == in ]]is true here, false in bash where word expansion precedes the temporary environment).yesis capped at 65,536 lines — PS 5.1 pipelines cannot signal upstream producers to stop, so an unboundedyes | headwould hang.tail -f,eval,alias, heredocs,env -i/--ignore-environment, background&, and output/fd redirects on a non-last pipeline stage are rejected with operation-specific, actionable error messages instead of misbehaving. Per-stage<remains supported. (if/then/elif/else/fi,for x in ...,while/until,case ... esac(;;only), backtick substitution,command -v, pipelineread, dotenv-stylesource, word-level$((...))arithmetic expansion,A=(x y z)arrays, and${name//pat/str}/${name:off:len}are supported.)command -v <builtin>prints/usr/bin/<name>where bash prints the bare builtin name; exit codes and empty-result semantics match.chmodmaps only the read-only bit; exec bits are no-ops on Windows.chownis a silent no-op (as in Git Bash).ps auxcolumns are approximations (no per-process CPU% accounting, USER shows?).gzip -c/pipeline stdin is text-faithful, not byte-faithful; file-modegzip fis byte-exact.Gzip decompression and
gzip -tuse Node's strict streaming decoder, including every concatenated member. Incomplete streams and checksum errors fail without committing a destination or deleting the archive. Trailing non-gzip garbage is an error rather than GNU's warning. Text stdout is validated before emission and needs temporary disk space proportional to decoded size;-tdiscards output. Standalone translated scripts require supportednode.exeon PATH. See the strict gzip contract for cancellation and spool limits.mvreplaces regular files only within one volume, without predeleting the destination. Cross-volume replacement, leaf reparse-point replacement, and replacing an existing empty directory fail explicitly with originals retained;-fdoes not bypass these limits. Existing-target-nstill skips. Ordinary absent-target moves retain PowerShell behavior and are not transactional across volumes. Identity checks and rename are separate operations, not a race-proof transaction. See the move contract.stat --printfomits the implicit newline and interprets text escapes, including ASCII octal/hex escapes. Numeric escapes producing bytes0x80–0xFFare rejected before output; use literal Unicode text instead. NUL is preserved in direct output, text pipelines, and redirected files; command substitution retains fauxnix's existing text behavior rather than Bash's NUL-removal behavior.A pipeline producing exactly one line, piped into
wc -l, counts that line (bash would count 0 if the producer omitted the trailing newline).printf 'x' | md5sumstays byte-exact.sed/awksupport the common subset; hold-space, labels, arrays, loops throw named "not supported" errors at translate time. Forawkprograms usingprintf, terminal and file-redirect output streams per formatted fragment. Pipeline and command-substitution output is coalesced into one text value to preserve adjacent fragments without adding separators. That intermediate value requires memory proportional to output size and is not capped by the caller's capture budget.curl/wgetrefuse loopback/private/reserved addresses (localhost, 127.x, ::1, 10.x, 172.16–31.x, 192.168.x, 169.254.x) as a safety default for agent-driven HTTP.Native-tool pipelines vs encoding: PS 5.1 has a single console-encoding knob, so piping localized admin tools (ipconfig, tasklist — GBK on zh-CN) and UTF-8-native dev tools (node, curl) cannot both decode cleanly mid-pipeline. Default favors UTF-8 dev tools; set
FAUXNIX_NATIVE_ENCODING=ansiwhen your agents grep Chinese output of native Windows admin tools.
Development
npm install
npm test # unit + real-PowerShell integration suite (Windows only, auto-skipped elsewhere)
$env:FAUXNIX_PS = 'pwsh'; npm test # same suite through PowerShell 7
npm run build
npx tsx scratch/run.mjs "any bash command" # quick live checkDifferential vs Git Bash is locally opt-in (FAUXNIX_DIFF_ORACLE=1). The minimum-runtime
Windows x64 / PowerShell 5.1 CI lane requires Git Bash and runs the 270-case primary corpus
plus a separate 41-case supplementary corpus. Other lanes may skip these checks.
The primary corpus currently matches 269/270 cases (99.6%); the remaining observed mismatch
is the documented Git Bash empty-regex-alternative behavior. The historical 253-case result
is not a same-corpus comparison. See test/differential/README.md.
The primary gate remains at least 200 cases and 95% identity; the weekly oracle also runs
from .github/workflows/differential.yml.
Architecture map: src/parser.ts (bash subset → AST) · src/translator.ts (AST → PowerShell +
executor wrapper) · src/executor.ts (spawn, redirects, session persistence) ·
src/commands/*.ts (per-command generators) · src/mcp.ts (MCP server) · src/cli.ts.
Roadmap: docs/rfc-roadmap-to-1.0.md — tracks, milestones, and the RFC process for proposing waves.
Security
Trust model, host protocol, kill semantics, network guard, and reporting: SECURITY.md.
License
MIT © 20000419
Available Tools
4 toolsbashADestructive
Execute a Linux/bash-style command on this Windows machine.
Commands are deterministically translated to PowerShell and executed natively — no WSL or VM. Output is formatted to look like GNU/Linux tooling (ls -l, ps aux, df -h ...), errors look like bash errors, and text encoding (UTF-8/GBK) is handled automatically.
Supported: pipes (|), && / || / ;, redirections (> >> 2> 2>&1 < /dev/null), variables ($VAR $HOME $1 $# "$@" ~), set -- / shift, array assignment A=(x y z), ${name[n]} ${#name[@]} ${name//pat/str} ${name:off:len}, command substitution $(...), and 109+ coreutils-style commands (., :, [, [[, alias, awk, base64, basename, cat, cd, chmod, chown, clear, command, cp, curl, cut, date...). Unknown commands (git, node, npm, python, cargo...) are passed through and executed natively with argv-style quoting. Not supported: heredocs, env -i/--ignore-environment, background jobs. if/then/elif/else/fi, for-in loops, while/until, case ... esac, and word-level $((...)) arithmetic expansion are supported. CWD, environment variables, export/unset, cd, and positional parameters (set -- / $1 / "$@") persist across calls within this session — a resident PowerShell 5.1 host is started when the MCP session begins (and after reset), so the first bash tool call is already warm. Efficiency: when two or more commands or verification steps are already known, prefer bash_batch once instead of making several bash calls. Keep separate calls only when the next command requires model interpretation of the previous output. For byte-exact work, measure with wc -c or stat -c %s instead of inferring CRLF byte counts from displayed text. MCP capture is bounded to 256 KiB stdout and 64 KiB stderr across the complete command list; larger output is marked truncated. Redirect larger artifacts to files. These transport-safe budgets include room for JSON escaping and duplicate text/structured fields. Exit codes follow bash conventions (0 ok, 1 fail, 2 usage/serious, 127 command not found, 124 timeout, 130 cancelled). The tool also returns structuredContent (schemaVersion 1) with stdout/stderr/exitCode/timedOut/cancelled/truncated/sessionId.
Platform requirement: the execution backend is native Windows PowerShell 5.1+. On hosts without PowerShell on PATH (e.g. Linux containers/sandboxes), the bash tool returns exit code 127 with an actionable error instead of running the command.
| Name | Required | Description | Default |
|---|---|---|---|
| command | Yes | The bash-style command line to run | |
| timeout_ms | No | Timeout in milliseconds (default 120000) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already flag destructive/openWorld, but the description adds substantial non-obvious behavior: output is GNU-style formatted, encoding is auto-handled, session state (CWD, env, positional params) persists via a resident PowerShell host, output is truncated past 256 KiB stdout / 64 KiB stderr, and exit codes follow bash conventions with specific values. This is well beyond what the annotations convey.
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 one-line purpose before diving into capability lists, and every paragraph addresses a decision an agent must make. It is long, and one sentence about JSON escaping/duplicate fields is meta-commentary that does not help invocation, but overall the density is justified.
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?
Despite no output schema, the description fully specifies the return shape via structuredContent (stdout/stderr/exitCode/timedOut/cancelled/truncated/sessionId), explains truncation budgets and exit-code semantics, and covers the platform prerequisite. An agent has everything needed to call and interpret results.
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 100% and only two parameters exist, so the schema documents both fields. The description nonetheless adds real meaning to the command parameter by enumerating supported constructs (pipes, redirections, variables, arrays, command substitution, 109+ coreutils) and passthrough behavior for unknown commands like git/node.
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 (Execute) and resource (a Linux/bash-style command) and immediately scopes the target platform (this Windows machine). It even names the sibling bash_batch as the preferred tool for multi-command flows, making it distinguishable 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?
Explicitly prescribes when to use bash_batch once instead of several bash calls, and when to keep calls separate (when the next command needs model interpretation of prior output). It also provides an actionable fallback rule for environments without PowerShell and a recommendation to redirect large artifacts to files.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
bash_batchADestructive
Compile and execute a preplanned multi-step bash workflow in one MCP round trip.
Use this instead of repeated bash calls when the complete sequence is already known. Steps run serially and atomically in the same persistent session: later steps see cwd, environment, and files from earlier steps, while run/reset requests cannot interleave. Every command is parsed and translated before step 1 runs, and the result reports each step separately.
By default the batch stops after the first nonzero exit. Set stop_on_error=false only when later steps should still run. timeout_ms and both output limits apply to the whole batch, not once per step. Output defaults to 256 KiB stdout and 64 KiB stderr; redirect larger artifacts to files. Preflight performs no operand-file reads: use sed -e with inline script text instead of sed -f. If a later command depends on model interpretation of an earlier result, use separate bash calls instead. For byte counts, include wc -c or stat -c %s as a verification step rather than calculating CRLF bytes mentally.
| Name | Required | Description | Default |
|---|---|---|---|
| steps | Yes | Ordered workflow steps; all are compiled before execution begins | |
| timeout_ms | No | Total timeout for the complete batch (default 120000) | |
| stop_on_error | No | Stop after the first nonzero exit (default true) | |
| stderr_limit_bytes | No | Total stderr budget shared by every step (default 65536) | |
| stdout_limit_bytes | No | Total stdout budget shared by every step (default 262144) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description richly discloses behavioral traits beyond the annotations: steps run serially and atomically in one persistent session, commands are pre-parsed before execution, output limits apply per-batch not per-step, preflight does no operand-file reads, and redirects are recommended for large artifacts. This complements the destructive/open-world hints with actionable detail.
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 appropriately sized for a complex batch tool. It front-loads the core purpose and usage, then covers behavioral constraints, defaults, and caveats in a logical order. Every sentence conveys useful guidance without redundancy.
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 no output schema, the description compensates by explaining step result reporting, failure behavior, session persistence, output limits, and preflight limitations. An agent has enough context to correctly select and invoke the tool, including how to handle large outputs and byte-count verification.
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 100%, so the schema already documents each parameter. The description adds meaningful semantics beyond the schema: timeout_ms and output limits apply to the whole batch rather than per step, and stop_on_error=false is recommended only when later steps should still run. This exceeds the baseline for fully-covered schemas.
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 action ('Compile and execute a preplanned multi-step bash workflow in one MCP round trip') and explicitly contrasts it with repeated bash calls. It clearly distinguishes this tool from the single-command sibling bash by focusing on preplanned multi-step workflows.
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 explicit when-to-use guidance: use instead of repeated bash calls when the complete sequence is already known. It also provides exclusions: use separate bash calls when later steps depend on model interpretation of earlier results, and explains when stop_on_error=false is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
fauxnix_sessionAIdempotent
Inspect or reset the persistent fauxnix shell session (current directory, environment, positional count, session id). Actions: "status" (default) or "reset".
| Name | Required | Description | Default |
|---|---|---|---|
| action | No | "status" shows the session state (cwd, tracked env keys, positional count); "reset" clears it back to a fresh shell | status |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark idempotentHint=true and destructiveHint=false; the description adds that reset 'clears it back to a fresh shell' and enumerates what status exposes. This contextualizes the mutation behavior 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 front-loaded sentence states the operation, resource, and fields, then a compact action list. No filler or repetition.
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 a single optional enum parameter, no output schema, and detailed action semantics in the schema, the description covers the essentials including reset side effects. It could specify the shape of a status response, but that is a minor gap for such a low-complexity 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 100% and the action property already explains both enum values. The tool description adds only 'session id' to the status contents, so it slightly extends but does not need to compensate for 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?
States a specific verb pair (inspect/reset), a precise resource (persistent fauxnix shell session), and the exact state fields. This separates it clearly from sibling tools like bash and fauxnix_translate.
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 action enum and sentence imply when to use it (inspect or reset session state), but there is no explicit guidance about when not to use it or which sibling would be preferred. Usage context is clear enough by implication, but no exclusion or alternative is stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
fauxnix_translateARead-onlyIdempotent
Translate a bash-style command into the equivalent PowerShell script WITHOUT executing it. Useful for learning/debugging what fauxnix does under the hood.
| Name | Required | Description | Default |
|---|---|---|---|
| command | Yes | The bash-style command line to translate (never executed) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe, non-destructive operation. The description adds behavioral context by emphasizing 'WITHOUT executing it' and that the command is 'never executed', reinforcing safety beyond the annotations. This matches the bar for adding value beyond structured fields.
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 sentences, front-loading the core action and immediate caveat (no execution) in the first sentence, then stating the use case. Every sentence earns its place without any wasted words.
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 the tool has a single parameter, no output schema, and rich annotations (readOnly, idempotent, non-destructive), the description is complete enough. It explains the translation function, non-execution guarantee, and appropriate use case. The absence of return value detail is acceptable since there is no output schema to contradict, and the use case is clear.
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 100% (1 parameter fully described in schema), so the baseline is 3. The description adds minimal parameter information beyond the schema (just reiterates 'bash-style command line'), but it does clarify that the command is never executed, which complements the schema description. No enum parameters exist to add further context.
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 clearly states the tool translates a bash-style command into PowerShell without executing it, specifying the verb 'Translate' and the resource 'bash-style command'. It distinguishes itself from siblings like 'bash' or 'fauxnix_session' by highlighting its non-execution and translation-only purpose.
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 explicitly states this is for learning or debugging what fauxnix does under the hood, providing clear context for when to use it. However, it does not specify when not to use it or mention alternatives, though the sibling 'bash' implies execution which contrasts with this tool's non-execution nature.
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.
2 tool updates
v0.13.0- Added
bash_batch - Changed
fauxnix_session1 field changed- changed
Input schema / properties / action / descriptionPrevious value: -"\"status\" shows the session state (cwd, tracked env keys); \"reset\" clears it back to a fresh shell"New value: +"\"status\" shows the session state (cwd, tracked env keys, positional count); \"reset\" clears it back to a fresh shell"
3 tool updates
- First observed
bash - First observed
fauxnix_session - First observed
fauxnix_translate
TDQS
Scored across 4 tools
bash and bash_batch overlap in purpose (both execute commands), but the descriptions give clear guidance on when to use each (batch for preplanned sequences, separate calls when model interpretation is needed). fauxnix_session and fauxnix_translate are clearly distinct. Only minor risk of misselection between the two execution tools.
Two naming families coexist: bare 'bash'/'bash_batch' (shared prefix, but no verb_noun form) and 'fauxnix_session'/'fauxnix_translate' (server-prefixed). The pattern is readable and not chaotic, but conventions are mixed rather than uniform.
Four tools is well-scoped for a shell-emulation server: execution, batched execution, session inspection, and translation each earn their place with no redundancy.
The surface covers execution, batch workflows, session status/reset, and translation introspection, which is solid lifecycle coverage for a shell proxy. Minor gap: no direct way to kill or interrupt a running process beyond reset, but core workflows are covered.
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