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populate_cosmic_structures

Trigger LLM discovery to populate major galaxies and galaxy clusters with astrophysical descriptions, optionally waiting for completion.

Instructions

Trigger LLM discovery to populate major galaxies and galaxy clusters with astrophysical descriptions.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "populate_cosmic_structures"
  }
}

Input Schema

NameRequiredDescriptionDefault
syncNoIf true, wait synchronously for discovery to complete

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are present, so the description must carry the behavioral burden. It says an LLM discovery is triggered but omits whether this is an expensive long-running job, whether it overwrites existing data, what permissions are needed, and how errors or partial results are handled.

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?

A single, front-loaded sentence with no filler. It is efficient, though the extreme brevity leaves important operational context unstated.

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 tool that triggers LLM discovery and mutates/populates data, with no annotations and no output schema, the description is too thin. It lacks details about side effects, job lifecycle, and data impact that an agent needs to invoke it safely.

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 schema fully documents the single 'sync' parameter with a default and meaning. The description adds no additional parameter semantics, which is acceptable given 100% schema coverage, but it does not enrich understanding beyond the schema.

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 names a specific action ('Trigger LLM discovery') and target resources ('major galaxies and galaxy clusters') with a clear output ('astrophysical descriptions'). It does not explicitly contrast with sibling populate_* tools, so it falls short of full sibling differentiation.

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 when-to-use guidance is provided. With many sibling population tools (e.g., populate_cosmic_structure_star_systems, populate_celestial_bodies_bulk), the description does not indicate when this specific tool should be chosen over those alternatives or what prerequisites exist.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.