Skip to main content
Glama

mcp_config_read

Read agent's global application configuration, grouped: notifications (webhook + webhook_key), bridges (matter/homekit/homebridge callbacks), settings (docs_enabled, logs_enabled, log_days), sensors, and configured pins…

Instructions

Read agent's global application configuration, grouped: notifications (webhook + webhook_key), bridges (matter/homekit/homebridge callbacks), settings (docs_enabled, logs_enabled, log_days), sensors, and configured pins (gpios). The agent block (platform, os, ip, cpu_temperature, version) is computed live on every read and is not stored.

Input Schema

NameRequiredDescriptionDefault
agentYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.9.23

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does add one genuinely useful trait — the `agent` block is computed live on every read and is not stored — but it never confirms the call is side-effect free, nor says whether it requires permissions or how it behaves on an unknown agent.

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?

Two sentences, front-loaded with the verb and the grouping, with the live-computed caveat placed last where it belongs. The parenthetical enumerations are dense but each one maps to a real returned field rather than filler.

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

Completeness3/5

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

Because there is no output schema, the description must describe return values — and it does list the top-level groups and most sub-keys. However, for a tool whose only required input is undocumented in the schema, it omits how to obtain a valid `agent` value and what happens on a missing or invalid agent, leaving a real gap.

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

Parameters2/5

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

Schema description coverage is 0% for the single required `agent` parameter, so the description must compensate. It only uses `agent` possessively, implying an agent identifier, without stating the expected format, an example value, or that valid names come from mcp_agents_list.

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?

States a specific verb and resource ('Read `agent`'s global application configuration') and enumerates exactly which groups are returned, so the agent knows what it will get. It does not name or distinguish itself from the ambiguous sibling mcp_config_load, which reads similarly by name, leaving the read-vs-load distinction unresolved.

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 statement about when to use this tool rather than mcp_config_load or the narrower mcp_gpio_config / mcp_sensor_config siblings. The only usage signal is the implicit 'this is the read operation', which the agent must infer from the verb alone.

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