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NGS360

NGS360 MCP Server

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by NGS360

ingest_vendor_data

Ingests vendor data for a bioinformatics project by specifying the project ID, source S3 bucket/prefix, and vendor manifest S3 path.

Instructions

Ingest vendor data for a project.

Args: project_id: The project identifier files_uri: Source S3 bucket/prefix of data to ingest manifest_uri: S3 path to the vendor manifest

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
files_uriYes
project_idYes
manifest_uriYes
Behavior2/5

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

The description only lists parameters and does not disclose behavioral traits such as whether ingestion is destructive, idempotent, or triggers side effects. With no annotations, the description carries the full burden, which it fails to meet.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is succinct, with a clear one-line purpose followed by parameter bullet points. It is efficient and front-loaded, though it could benefit from a brief usage note.

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

Completeness2/5

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

Given the tool's likely complexity (S3 ingestion with side effects), the description omits critical details like return value, error conditions, data overwrite behavior, or job tracking. It is incomplete even for a basic evaluation.

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?

The description adds basic semantic context to each parameter (e.g., 'Source S3 bucket/prefix'), which is necessary given the 0% schema description coverage. However, the explanations are minimal and lack format constraints or examples, so it only partially compensates.

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?

The description clearly states the tool's verb and resource: 'Ingest vendor data for a project.' This distinguishes it from sibling tools like 'create_vendor' or 'validate_manifest,' though it does not explicitly contrast with alternatives.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, prerequisites, or context. The description simply states what it does without usage direction.

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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