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Detach Bucket from Deployment

nexusai_bucket_detach

Remove the bucket from a deployment. S3 env vars stop being injected on next deploy.

Input Schema

NameRequiredDescriptionDefault
bucketIdYes
deploymentIdYes

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 readOnlyHint=false and destructiveHint=false, so the safety profile is partly covered. The description contributes real value beyond that by explaining the consequence (S3 env vars stop being injected) and, importantly, that the effect is deferred to the next deploy rather than immediate — a timing detail the annotations cannot convey.

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, zero filler, with the core action front-loaded and the consequence immediately after. Nothing could be cut without losing information.

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 mutation with no output schema, the description covers what changes and when it changes, which is the essential behavioral context. It does not mention permissions, reversibility, or whether the detach is confirmed asynchronously, which would have made it fully complete.

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 0% and the description says nothing about bucketId or deploymentId, so it does not compensate for the missing schema docs. However, both parameters are self-describing identifiers of the two entities the description already names, so the gap is minor rather than severe.

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 ('Remove the bucket from a deployment'), which reads as the inverse of the sibling nexusai_bucket_attach and is clearly distinct from nexusai_bucket_delete since the bucket itself survives. The second sentence sharpens the scope by naming the concrete effect. It never explicitly names the sibling it is not, which keeps it just 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 only implied: an agent can infer you detach when you want to stop a deployment consuming a bucket, and the 'next deploy' note hints at when the change takes effect. There is no explicit when-to-use, no exclusion such as 'use bucket_delete to remove the bucket entirely', and no prerequisites.

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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