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Nanites

Nanites

by ADn-001
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Download And Test

download_and_test

Download a model from a source, then automatically run a test regimen once the download completes. Failed, paused, or abandoned downloads skip testing.

Instructions

Workflow #4 end to end: download_and_wait, then on completion trigger Workflow #1 (run_test_regimen) on the newly downloaded model automatically. A failed/paused/gave-up download returns without testing.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "profile": "<profile>",
      "source": "<source>"
    },
    "name": "download_and_test"
  }
}

Input Schema

NameRequiredDescriptionDefault
sourceYes
profileYes
quantizationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior4/5

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 does well by stating the sequencing (download_and_wait, then run_test_regimen) and the failure condition (failed/paused/gave-up download returns without testing). This goes beyond what the title alone implies, though it does not describe what happens after testing or what the return value looks like.

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 two sentences with no filler and the core behavior is front-loaded. The references to workflow numbers add some ambiguity, but the text is compact and each sentence contributes meaningful information.

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?

For a composed workflow with no annotations, no output schema, and no parameter documentation, the description is incomplete. It explains the high-level sequence and failure behavior but omits parameter semantics, prerequisites, return format, and what happens if the test itself fails.

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

Parameters1/5

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

Schema description coverage is 0% and the description does not mention the three parameters (source, profile, quantization) at all. The agent is left with only the parameter names and types, which is insufficient for correctly selecting and providing values.

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 function: it downloads a model and then automatically triggers the test regimen workflow. It references specific workflow names which add context, though it relies on internal knowledge of 'Workflow #4' and 'Workflow #1' that may not be obvious to an agent.

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?

The description implies this tool is used when you want the combined download-and-test sequence, but it does not explicitly say when to use it versus the sibling tools download_and_wait, download_model, or run_test_regimen. There is no when-not-to-use guidance or explicit alternative routing.

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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