Skip to main content
Glama

Netmon (demo)

agent_processes

Read-onlyIdempotent

List running processes on an agent-managed device — live read via the agent tunnel. Wraps POST /api/getDeviceProcesses (permission: devices).

Returns rows as reported by GETPS: (process id, name, parent, memory, etc. — exact shape depends on the agent version).

Common diagnostic patterns: pair with agent_services to answer 'is the SQL Server service running but stuck?'; correlate top memory/cpu processes with eventlog_search criticals.

Read-only by design — the process-kill endpoint (KILLPS) is deliberately NOT exposed via mcpmond. Server-side timeout is 60s; expect 400 if the device is offline or not enrolled.

Example: agent_processes({device_id: 42})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
device_idYesDevice id of the agent-enrolled host to query.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses it's a live read, has a 60s server-side timeout, returns 400 for offline/unenrolled devices, and the return shape depends on agent version. This is rich behavioral context that annotations alone don't provide.

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?

The description is front-loaded with purpose, then provides technical details, diagnostic patterns, limitations, and an example. Every sentence adds value with no redundancy; it's efficient and well-structured.

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?

Despite having no output schema, the description covers return format ('rows as reported by GETPS'), error conditions, timeout, and usage examples. It provides everything an agent needs to call the tool correctly.

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

Parameters3/5

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

Schema description coverage is 100%, so the parameter is fully documented in the schema. The description adds a usage example (agent_processes({device_id: 42})) but no new semantic meaning beyond what the schema already states.

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 the tool lists running processes on an agent-managed device, with a specific verb ('List') and resource. It also distinguishes itself by noting the process-kill endpoint is not exposed, and mentions pairing with sibling tools like agent_services, so it's easy to tell apart.

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 provides diagnostic patterns (pair with agent_services, correlate with eventlog_search) and states a when-not (kill endpoint not exposed). This gives clear guidance on when to use this tool versus alternatives.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.