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MCP SSH Manager

by bvisible

ssh_session_start

Start a persistent interactive SSH session on a configured server and get a session ID. Keeps working directory, environment, and history alive for subsequent commands until closed.

Instructions

Opens a new persistent interactive shell on the named configured server and returns a generated session ID. Stateful and side-effecting: it establishes (or reuses pooled) SSH connection and keeps an open shell that preserves working directory, environment, and command history across later ssh_session_send calls, unlike one-shot ssh_execute. The optional name is only a human label. The session stays open and consumes a remote shell until ssh_session_close is called.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoOptional session name for identification
serverYesServer name from configuration

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changedv3.8.5
    • removedInput schema / additionalProperties
      Removed value: -false
  2. Addedv1.0.0

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It openly states that the tool is stateful, side-effecting, may reuse pooled connections, keeps an open shell, preserves working directory/environment/history, and consumes a remote shell until ssh_session_close is called. This is thorough and accurate.

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?

Three dense, information-rich sentences with no redundancy. The core behavior is front-loaded, and every sentence adds value by covering statefulness, lifecycle, comparison to alternatives, and parameter semantics.

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 no output schema, the description gives the key return value (generated session ID), defines the lifecycle, and warns that the session consumes resources until closed. Sufficient context is provided for an agent to select and invoke the tool successfully.

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

Parameters4/5

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

Schema description coverage is 100%, so the parameters are already documented. The description adds meaningful context beyond the schema by explaining that 'server' refers to a named configured server and that 'name' is only a human label, which clarifies intent and prevents misuse.

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 a specific verb and resource: opens a new persistent interactive shell on a configured server and returns a session ID. It explicitly differentiates from one-shot ssh_execute, and the stateful, multi-call nature is unambiguous.

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

Usage Guidelines4/5

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

The description clearly conveys when to use this tool: when a persistent shell with preserved context across subsequent calls is needed, and contrasts it with ssh_execute. It could be slightly more explicit about when not to use it or when to choose other siblings, but the intended usage is strongly implied.

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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