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EasyDeploy-AI

easydeploy-ai-mcp

Official

List models

list_models
Read-onlyIdempotent

Retrieve all models in a specified EasyDeploy project, returning each model's ID and name. Provide a project_id to view available models for that project.

Instructions

List all models in a project (id, name).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered without the description. The description adds only a hint at returned fields ('id, name'), which is redundant given an output schema exists.

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 appropriately sized for a trivial one-parameter list tool, though it is perhaps too thin to fully earn the space it takes.

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 simple read-only list tool with one required parameter and an output schema that documents return values, the description covers enough to invoke correctly. Pagination or result-size behavior is not addressed, but nothing critical is missing given the existing structured fields.

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% and the sole parameter project_id is undocumented in the schema. The description's phrase 'in a project' weakly implies the project scope of that parameter, but provides no format or semantics beyond the name itself.

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 states a specific verb and resource ('List all models in a project'), which is clearly distinct from siblings like get_model (singular), create_model, and list_model_versions. It does not explicitly name those alternatives, so it falls short of the 5-level differentiation.

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?

Usage is only implied — an agent can infer you call this to enumerate models within a known project, but there is no explicit when-to-use, no prerequisite statement, and no pointer to alternatives like get_model or list_model_versions.

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