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laughnan

arcade-matter-mcp

by laughnan

GetAccount

Matter_GetAccount
Read-onlyIdempotent

Fetch the connected Matter account's API rate limits and check how many read requests remain in the current window.

Instructions

Get the Matter account the server is connected to, including its API rate limits (requests per minute for reads, writes, saves, searches and full-text fetches) and how many read requests are left in the current window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is fully covered. The description adds the nature of the returned data (per-operation rate limits and remaining read quota), but that content is also captured by the output schema, and it says nothing about auth requirements or quota-exhaustion behavior.

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?

A single front-loaded sentence with the resource first and the payload second. The parenthetical enumerating which rate limits are returned is slightly verbose but does real work by telling the agent exactly what diagnostic data is available.

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 zero-parameter read tool with an output schema and full annotation coverage, the description carries the remaining burden well and need not restate return values. The only gap is the absence of any guidance on when checking account quota is worthwhile.

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 for the description to disambiguate; baseline for a parameterless tool applies. The description correctly implies the call is unconditional and scoped to the connected account.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Get') and resource ('the Matter account the server is connected to'), then enumerates what the response contains. None of the sibling tools deal with account state, so the agent can distinguish this from item/tag/highlight operations without opening a schema.

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?

Usage is only implied: an agent infers this is the call to make when it needs account identity or rate-limit/quota state. There is no explicit when-to-use statement, no exclusions, and no mention of how it relates to the sibling read tools.

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