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Glama

mcp_config_load

Load a full configuration dictionary onto a remote GPIO agent, which saves a backup first. Pass an empty dict to reset all settings while keeping only the API key.

Instructions

Load a full config onto agent from a dict (the agent saves a backup first). Pass an empty dict {} to reset all settings on the agent keeping only its API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentYes
configYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.9.23

TDQS

A3.9/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses two important behavioral traits: a backup is saved first, and passing an empty dict resets settings while preserving the API key. This is valuable context beyond the schema. It does not mention permissions or what happens if the config is invalid.

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?

Two sentences, front-loaded with the main action, and the special reset behavior is clearly stated. Every sentence 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 mutation tool with no annotations and no output schema, the description provides critical behavioral context (backup, reset semantics). It is almost complete, but a brief note on return value or failure modes would improve it further.

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

Parameters4/5

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 explains that the config parameter is a dict and what an empty dict does, adding meaning beyond the schema type. The agent parameter is not explained, but its purpose is relatively inferable from the tool name and context.

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 clearly states the action and resource: load a full config onto an agent. It names the sibling mcp_config_read and mcp_config_write implicitly by being the operation that replaces the entire config, providing a scope distinction. However, it does not explicitly name how it differs from mcp_config_write.

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?

It implies usage when setting a complete configuration versus partial updates, and mentions the reset case specifically. But there is no explicit guidance on when to choose this tool over mcp_config_write or other config-related siblings.

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