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Create Storage Volume

nexusai_volume_create

Create a new org-scoped persistent volume. Backed by a Docker named volume that survives redeploys. Volumes are single-attach.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesSlug-style name, 1-32 chars, lowercase letters/digits/hyphens.
displayNameNoOptional friendly display name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly=false, destructive=false, openWorld=false, so the safety profile is covered. The description adds genuine behavioral context beyond that: Docker-backed storage, survival across redeploys, and the single-attach constraint. It omits behavior on name collisions and whether creation is idempotent.

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 short sentences, fully front-loaded with the core action first, then implementation and constraint details. Every sentence carries distinct information with no waste.

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

Completeness4/5

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

For a two-parameter create tool with full schema coverage and no output schema, the description supplies purpose plus lifecycle behavior. It could mention name-collision handling or that attach is required before use, but it is largely complete given the rich structured data.

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 both parameters (name, displayName) are fully documented in the schema. The description adds no parameter-level detail beyond the schema, so the baseline 3 applies.

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 and resource ('Create a new org-scoped persistent volume') and adds scope (org-scoped) plus implementation detail (Docker named volume). It does not explicitly name or differentiate from siblings like nexusai_bucket_create or nexusai_volume_attach, so it stops short of a 5.

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?

Usage is implied by 'persistent volume' and 'survives redeploys', which hints at the use case, but there is no explicit when-to-use vs alternatives (e.g. volume vs bucket) and no note that a volume must later be attached to be useful. Adequate but with clear gaps.

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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