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Hologram Model Hub

Resolve a file

resolve_file

Where to download one file of a model right now, the SHA-256 it must have, how to check it, and the commands that hand it to an engine (hf, Ollama, llama.cpp). Give either a path or, for GGUF models, a quantisation such as Q4_K_M.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
pathNo
quantNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the transparency burden and does a good job: it states the tool returns download coordinates, verifies/pins a SHA-256, and produces engine-specific commands. It implies a read-only information lookup, though it does not explicitly discuss failure modes or side effects.

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 a single dense sentence that front-loads the main purpose and then lists what the caller needs to provide. It is efficient, though the list-like structure could be broken out for easier scanning.

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 three-parameter, read-only resolver with no output schema, the description covers the key return contents (download location, SHA-256, verification, engine commands) and the key input constraint (path or quant). It stops short of giving examples or explicit conflict rules between path and quant, but is largely sufficient.

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%, so the description must explain the parameters. It does explain path and quant by saying to supply either a path or a GGUF quantisation like Q4_K_M, but it leaves the required id parameter underspecified and does not state how id relates to the other fields.

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 identifies a concrete function: given a model file, return its download location, SHA-256, verification steps, and engine commands. This clearly differentiates it from sibling tools, which handle model metadata and search, even though it never uses the verb 'resolve'.

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 phrase 'Where to download one file of a model right now' implies the use case, but the description never explicitly says when to choose this over get_model or search_models, nor does it mention exclusions or prerequisites. The context is understandable 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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