rostra

set_session_models

Set adapter-specific default models for the server process, with overrides shared by all clients connected to the same HTTP endpoint.

Instructions

Set default models by adapter for this server process. The overrides are process-scoped, so every client connected to the same HTTP endpoint shares them.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "models": "<models>"
    },
    "name": "set_session_models"
  }
}

Input Schema

Name	Required	Description	Default
`models`	Yes

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0-beta.2Sep 2, 2026

TDQS

A3.6/5.0

Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose an important behavioral trait: the overrides are process-scoped and shared by all clients on the same HTTP endpoint. However, it does not mention persistence, whether null values clear overrides, replacement semantics, or side effects beyond sharing.

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 description is two sentences with no filler. The first sentence states the action and target; the second explains the key scoping consequence. Information is front-loaded and every phrase earns its place.

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 one-parameter tool with an output schema, the description is largely complete: it explains what is set, at what scope, and which clients are affected. The main gap is the lack of explicit null-clearing semantics, but the schema already showing null as an allowed value reduces the need for a detailed explanation.

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 for documenting the models parameter. It partially does by explaining that models are 'by adapter' and are 'default models', which clarifies the object's mapping purpose. It does not explain that null values likely clear a default or what the adapter keys refer to, leaving some semantic burden on the schema.

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 action ('Set default models') and a specific resource ('by adapter'), and clarifies the scope ('for this server process'). It is clear and unambiguous, but it does not explicitly differentiate itself from sibling tools such as list_models, so it stops short of a 5.

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 implies when to use the tool by explaining its process-scoped behavior, but it never explicitly states when to prefer this tool over alternatives or what conditions make it inappropriate. The usage context is inferable but not stated as guidance.

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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