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Nanites

Nanites

by ADn-001
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Run Untested Sweep

run_untested_sweep

Compares downloaded LLM models to the registry, then runs the test regimen on each unregistered model sequentially.

Instructions

Workflow #3 end to end: diff downloaded LLM models against the registry and run Workflow #1 (run_test_regimen) on each unregistered model, sequentially.

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>"
    },
    "name": "run_untested_sweep"
  }
}

Input Schema

NameRequiredDescriptionDefault
profileYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the burden. It discloses the two main steps and sequential execution, but omits side effects (e.g., whether tested models are registered afterward), error handling, resource usage, or long-running nature. Some behavioral context is present, but significant gaps remain.

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?

One concise sentence that front-loads the workflow label and states the actions clearly. The references to Workflow #1 and #3 are slightly jargon-heavy but do not waste words.

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?

Despite being a complex workflow tool, the description lacks any explanation of the 'profile' parameter, expected return value, or behavioral side effects. With no output schema or annotations, the agent has insufficient information to call it correctly and interpret results.

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?

The schema has zero description coverage for the single required parameter 'profile', and the description does not mention or explain it. The agent is left to infer what profile means and how it affects the sweep, making this a critical gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description specifies an end-to-end workflow with concrete actions: diff downloaded models against the registry, then run run_test_regimen on each unregistered model sequentially. It clearly differentiates from sibling tools like diff_untested and run_test_regimen by indicating it combines them into a full sweep.

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

Usage Guidelines4/5

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

The phrase 'Workflow #3 end to end' signals that this is the complete sweep, implying use when the entire process is needed rather than individual steps. However, it does not explicitly name alternatives or state when not to use the tool, so the guidance is clear but not fully explicit.

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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