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Get Config

get_config
Read-only

Returns the current LMCP configuration: connected integrations, feature flags and license status. Only known non-secret settings come back by value; every other key (tokens, credentials, codes, anything not explicitly listed as safe) comes back as <key>_set: true/false, never its value.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/destructiveHint=false, so safety is covered. The description adds genuinely useful behavioral context beyond that: how secrets are masked, with every non-allowlisted key returned as `<key>_set: true/false` rather than a value. This tells the agent how to interpret the output, though it omits any note on failure modes.

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 what is returned, then the masking rule that governs how to read it. Every clause carries information an agent needs; no filler.

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?

An output schema exists, so return values need not be re-explained, and the description still adds the secret-masking convention that shapes interpretation. The only gap is absence of disambiguation against sibling config/state tools.

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?

The tool takes zero parameters, so there is nothing to document and the baseline is 4. The description correctly spends no space on parameter semantics.

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 (Returns) and resource (the current LMCP configuration) and enumerates the contents: connected integrations, feature flags, license status. This is clear, though it does not distinguish itself from close siblings like lmcp_state, lmcp_doctor, or permissions_status.

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?

No explicit when-to-use or when-not-to-use guidance, and no alternatives named. With siblings such as lmcp_state and lmcp_doctor in the same domain, the agent is left to infer when config introspection is appropriate rather than being routed.

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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