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lab_stage

Destructive

Stages hash-verified packages from a subdirectory of HYPERV_MCP_LAB_ROOT for transfer to a Hyper-V VM, including chunked large files, without executing staged content.

Instructions

Stage a hash-verified package from a subdirectory of HYPERV_MCP_LAB_ROOT. Supports chunked large files and never executes staged content.

Input Schema

NameRequiredDescriptionDefault
vm_nameYes
package_idNo
source_directoryYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior4/5

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

Annotations flag this as non-idempotent and destructive, so the safety burden is partly covered; the description still adds real value by disclosing hash verification, chunked transfer for large files, and that staged content is never executed. It omits what happens to a pre-existing package with the same package_id and whether failures are partially applied.

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?

Two short sentences, front-loaded with the action and scope, and every clause (hash-verified, chunked, never executes) carries information an agent cannot get from the schema.

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

Completeness3/5

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, and the destructive/non-idempotent profile is in annotations. However, for a 3-parameter mutation tool with zero schema coverage, the missing package_id semantics and overwrite behavior leave meaningful gaps.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must carry the burden. It only clarifies that source_directory must be a subdirectory of HYPERV_MCP_LAB_ROOT; vm_name and especially package_id (optional, default null) are given no meaning, format, or reuse semantics.

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 (stage) and resource (a hash-verified package) plus the source constraint (subdirectory of HYPERV_MCP_LAB_ROOT). It does not name or contrast with siblings such as guest_write_file, lab_init, or lab_verify, so an agent must infer the boundary itself.

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

Usage Guidelines3/5

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

Implied usage is staging content prior to running it, reinforced by 'never executes staged content' and the note about chunked large files. There is no explicit when-to-use/when-not guidance or named alternative (e.g., directly writing files with guest_write_file).

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