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

Annotations already cover read-only and idempotent behavior. The description adds that it returns account, machine, and tool-call-count information, which is useful context but does not go beyond what is implied. No contradiction with annotations.

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

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

A single sentence that is front-loaded with usage triggers and provides all necessary information without any filler. Highly efficient.

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

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

With zero parameters, an output schema present, and annotations covering safety, the description fully equips an agent to decide when to invoke it and what to expect. Nothing critical is missing.

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

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

There are zero parameters, so the schema fully covers them. The description adds no parameter details, but baseline is 4 for parameterless tools.

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

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

The description clearly specifies the exact scenarios: identifying the signed-in ReMCP account, paired/online machine count, and recent tool call count. It uses a specific verb ('Use this when') and names the resource, distinguishing it from siblings like get_recent_tool_calls or get_usage_statistics by its summary-level nature.

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

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

It provides explicit trigger conditions ('when the person asks...') for three distinct use cases, which is strong guidance. However, it does not explicitly mention alternatives or when not to use it, leaving slight ambiguity about overlap with more detailed tools like get_recent_tool_calls.

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