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lovelyXiaoQi

mcdk-mcp-tracy

by lovelyXiaoQi

tracy_status

Read-onlyIdempotent

Probe whether native Tracy profiling is usable on the running game by testing TCP connectivity and CLI availability, returning a status with error hints for troubleshooting.

Instructions

Probe whether native-Tracy profiling is usable on the running game.

RUN THIS FIRST. The capture path used by this server is the game's embedded native Tracy server (TCP 8086), driven by the bundled tracy-capture / tracy-csvexport CLIs. It does NOT use the Python _utility.getCpuFrameData binding (absent on most release builds) and does NOT go through MCDK. Reports:

  • native_tracy.reachable — can we open a TCP connection to 8086? (the tracy-profiler GUI connects to the same port)

  • bin_present — are the bundled Tracy CLIs available?

  • mcdk — MCDK MCP endpoint, informational only (just tracy_jank_fps needs it; native capture is independent). Best-effort.

ok is true when the native path is ready (reachable + bin present); otherwise reason/hint pinpoint the broken leg.

Args: address/port: native Tracy endpoint (default 127.0.0.1:8086). project_dir: optional path whose .mcdev.json gives MCDK's MCP port.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
portNo
addressNo127.0.0.1
project_dirNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true. Description adds details about what is probed (reachable, bin_present, mcdk) and explains the underlying mechanism (native Tracy server, TCP 8086, bundled CLIs), going beyond annotations.

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

Conciseness5/5

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

Well-structured: opening sentence, 'RUN THIS FIRST', explanation of reports, then Args. Every sentence adds value, no waste.

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

Completeness5/5

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

Given 3 parameters and existence of output schema, the description covers purpose, usage, behavioral details, and parameters. Output schema fields are mentioned, making it complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description explains parameters in the 'Args' section: address/port defaults, project_dir optional for MCDK port. This adds meaning beyond the schema's default values.

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

Purpose5/5

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

The description clearly states 'Probe whether native-Tracy profiling is usable on the running game.' It specifies the verb (probe), resource (native-Tracy profiling), and distinguishes from sibling tools like tracy_native_capture.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'RUN THIS FIRST' and explains that it does NOT use the Python binding or MCDK, providing clear guidance on when to use this tool before other Tracy tools.

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

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