API Monitor MCP

by zxcvbbq

Overview Schema Source Related Servers Discussions Admin

Python

Local

api_monitor_capture_process

Launch an executable in the background, monitor its API calls, and save the results as an APMX file for later analysis.

Instructions

Capture one executable in the background and save the resulting APMX file.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "process_path": "<process_path>",
      "output_path": "<output_path>"
    },
    "name": "api_monitor_capture_process"
  }
}

Input Schema

Name	Required	Default
`start_in`	No
`arguments`	No
`overwrite`	No
`output_path`	Yes
`architecture`	No	x64
`process_path`	Yes
`minimum_calls`	No
`timeout_seconds`	No
`duration_seconds`	No

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.10.26Sep 12, 2026

TDQS

C2.6/5.0

Behavior2/5

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

With no annotations, the description carries the full burden. It adds one useful behavioral trait ('in the background', implying non-blocking execution) and names the output artifact, but says nothing about how the timeout/duration interplay works, what happens on failure, overwrite semantics, or any 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.

Conciseness4/5

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

A single front-loaded sentence with zero filler, and the key artifact (APMX file) is stated up front. It is efficiently written, though arguably undersized for a 9-parameter tool.

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

Completeness2/5

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

An output schema exists so return values need not be explained, but with 9 parameters at 0% coverage, no annotations, and no explanation of the timing/kill behavior implied by timeout_seconds and duration_seconds, the definition is not complete enough for an agent to invoke it confidently.

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

Parameters1/5

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

Schema description coverage is 0% across 9 parameters, and the description compensates almost nothing. It only obliquely implies process_path and output_path; parameters like timeout_seconds, duration_seconds, minimum_calls, architecture, overwrite, start_in, and arguments 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.

Purpose4/5

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

States a specific verb (capture), resource (one executable), and output artifact (APMX file), plus the execution mode (background). However, it does not differentiate itself from close siblings like api_monitor_save_capture, api_monitor_monitor_process, or api_monitor_attach_process, so an agent cannot tell which capture variant to pick from the description alone.

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

Usage Guidelines2/5

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

No when-to-use guidance, no prerequisites, and no named alternatives among the many capture/monitor siblings. Usage must be inferred entirely from the tool name and the single sentence.

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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