Skip to main content
Glama

Hydracept

Register model adapter

hydracept_register_model_adapter

Register a reusable project LoRA without generating or spending money. source_kind must be provider_ref, huggingface, or hydracept_artifact. For huggingface, source_ref is namespace/repository; source_file_path may identify an explicit public .safetensors file. If file path is omitted the repository is cataloged but remains non-executable. When a file path is supplied, Hydracept validates it and freezes the Hub commit. For hydracept_artifact, source_ref is a project artifactId and Hydracept binds its immutable content hash. For provider_ref, source_provider is required. Omitted project/environment arguments inherit the authenticated workspace binding. Inspect sourceHealth and routingReadiness.routeCompatible in the result before quoting generation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNo
source_refYes
environmentNo
source_kindYes
display_nameYes
trigger_wordsNo
source_providerNo
source_revisionNo
source_file_pathNo
base_model_familyNoflux
recommended_weightNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations provided, the description carries full responsibility for disclosing side effects. It does well: it explains validation and freeze behavior for Hugging Face files, content-hash binding for artifacts, the requirement for provider_ref, inheritance of workspace bindings, and instructs inspection of result fields before further action. It stops short of stating whether the registration is persistent, reversible, or requires special permissions, but the provided behavioral specifics are substantial.

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, coherent paragraph of moderate length. Every sentence adds relevant information about how to use the tool, from the source_kind variants to the inheritance rule and the required result inspection. It is front-loaded with the core purpose and then drills into specifics, maintaining focus without extraneous detail.

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?

Given the tool's complexity (11 parameters, three source_kind branches, and a non-trivial output), the description provides a solid foundation: it explains the branching logic, required fields per kind, inheritance behavior, and the crucial post-registration checks. The output schema exists, so the absence of return-value documentation is acceptable. Minor gaps remain for the unaddressed parameters, but these are relatively self-explanatory (e.g., display_name, trigger_words).

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 compensate. It does explain the semantics of source_kind, source_ref, source_file_path, source_provider, project_id, and environment, which covers a significant portion of the 11 parameters. However, display_name, trigger_words, source_revision, base_model_family, and recommended_weight are left unaddressed, meaning the description does not fully compensate for the complete absence of schema-level descriptions.

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 clearly states the tool registers a reusable project LoRA, which is a specific verb+resource. It immediately distinguishes itself from cost/quote tools by saying 'without generating or spending money' and from other adapter operations by focusing on registration of a source model adapter. The three source_kind variants further specify what counts as an adapter source, leaving no ambiguity about the action.

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 does not explicitly name alternative tools or state when to use this one over them. It implies usage through the phrase 'without generating or spending money' and by detailing the exact source_kind handling, but it never tells the agent 'use this instead of X when Y'. The absence of explicit alternatives or exclusion conditions leaves the routing decision under-specified.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.