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meshive-mcp

Official
by meshive

Check Model Compatibility

detect_model
Read-onlyIdempotent

Check whether a Hugging Face repository can be served before registering it, returning status, detected context length, and unsupported-repo guidance without creating resources.

Instructions

Check whether a Hugging Face repo (e.g. "Qwen/Qwen3-0.6B") can be served before registering it; nothing is created. status is ok, unsupported (see detail; suggested_repo may name an original repo to try instead of a GGUF) or failed (the repo could not be read — check the name, or pass hf_token_id from source_credentials for a private repo). context_length is the model's detected maximum context.

Input Schema

NameRequiredDescriptionDefault
workspaceNo
hf_token_idNo
huggingface_repoYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable behavioral detail: no resource is created, statuses are enumerated, failures mean the repo could not be read, and auth may be needed for private repos.

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

Conciseness5/5

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

The important information is front-loaded: what the tool checks and that nothing is created. The status semantics and context_length note are compact and every sentence adds useful operational meaning.

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

Completeness3/5

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

An output schema exists, so return values need not be fully described, and annotations cover the safety profile. However, with 0% schema description coverage, the description should explain all three parameters, and the workspace parameter is omitted.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate for all three parameters. It explains the huggingface_repo format and the purpose of hf_token_id for private repos, but the workspace parameter is not addressed at all.

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?

States a specific verb and resource: checking whether a Hugging Face repo can be served. It also distinguishes itself from registration by saying 'before registering it; nothing is created,' which helps separate it from sibling tools like register_model.

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?

Gives clear usage context: run this before registering a model, and pass hf_token_id for private repos. It does not explicitly name register_model as the follow-up action, but the workflow context is clear.

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