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configure_backbone_agent_surface

Sets the preferred Backbone host surface for the agent, such as ChatGPT MCP, with optional model, scope, and request overrides.

Instructions

Configure the preferred Backbone host surface, such as ChatGPT MCP.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNoUSER
model_idNo
model_providerNo
backbone_surfaceYes
request_overridesNo{}
provider_connection_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv0.1.1

TDQS

D1.6/5.0
Behavior1/5

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

The description only says 'configure' without explaining side effects, persistence, permissions, or what happens to existing settings. With no annotations to supplement, there is zero transparency about the tool's behavior.

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

Conciseness2/5

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

The description is extremely short, which is concise, but it lacks necessary details. It provides minimal information beyond the tool name and leaves many questions unanswered. The brevity is not effective given the complexity of the parameters.

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

Completeness1/5

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

With no parameter descriptions, no output details, and no usage context, the description is grossly insufficient for an agent to correctly invoke the tool. It fails to explain what a 'Backbone host surface' is, what 'preferred' means, or how the parameters interact.

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

Parameters1/5

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

All 6 parameters (scope, model_id, model_provider, backbone_surface, request_overrides, provider_connection_id) are completely undocumented. The description does not clarify any parameter's meaning, even the required backbone_surface, which is only indirectly referenced by the phrase 'host surface'.

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?

The description states a clear action ('Configure') and a specific resource ('Backbone host surface'), with an example ('such as ChatGPT MCP'). However, the term 'Backbone host surface' is jargon and not defined, and the description does not differentiate this tool from similar configuration tools like 'configure_coding_agent_runtime'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. It does not mention any conditions, prerequisites, or situations that call for this configuration. The single sentence offers no usage direction.

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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