Skip to main content
Glama
Rockfish-Data

Rockfish MCP Server

Official

upload_model

Register a new model in the Rockfish AI platform by providing its name and optional metadata for ML workflow use.

Instructions

Upload a new model

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesModel name
metadataNoModel metadata

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden and provides none of it: no statement of required auth or permissions, no duplicate-name handling, no indication of what happens on failure, and no hint that 'metadata' is a free-form nested object. A mutation tool with zero annotation coverage needs far more than a four-word fragment.

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

Conciseness3/5

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

The sentence is front-loaded and wastes no words, but it is under-specified rather than genuinely concise. Nothing needs trimming; the problem is that there is too little content, not too much.

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 mutation tool with no annotations, no output schema, and a nested object parameter ('metadata') whose internal shape is undefined, the description leaves the agent without enough to invoke it confidently. Return behavior and the semantics of the nested object are unaddressed.

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 100% (name and metadata both documented), so the baseline is 3. The description adds no additional meaning — it does not explain what 'metadata' should contain or whether 'name' must be unique — but the schema already covers the declared fields.

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

Purpose3/5

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

"Upload a new model" gives a recognizable verb and resource, so an agent can tell it creates a model resource rather than reading one. However, it makes no attempt to distinguish itself from siblings like list_models, get_model, or delete_model beyond the verb, and 'upload' is ambiguous about whether bytes, an archive, or a config is being submitted.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as create vs. update paths. The agent must infer from the name alone that this is the creation entry point for models.

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