get_protocol_stats

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 that the statistics are 'Live', which adds useful freshness context beyond the schema, and the zero-parameter schema makes mutation impossible. However, it does not explicitly state read-only behavior, authentication needs, rate limits, or whether the data is cached or aggregated.

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?

The description is a single front-loaded fragment with no filler. It could be slightly improved by clarifying the time window or output shape, but every word earns its place.

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?

For a zero-parameter stats tool with no output schema and no annotations, the description gives a useful enumeration of metrics but omits the time window, aggregation level, and return format. It is minimally adequate but leaves gaps an agent might need to resolve before calling.

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 baseline is 4. The description correctly does not waste space discussing parameters and instead describes the returned metric categories.

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 states a specific resource (protocol statistics) and enumerates the metrics returned (agents, intents, transactions, volume, success rate). This clearly distinguishes it from sibling tools like dispatch_task and list_agents, though the term 'protocol' is left undefined.

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?

No guidance is given on when to use this tool, when not to use it, or what alternatives exist. The agent must infer that this is the monitoring/observability counterpart to the task-oriented siblings.

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