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

With no annotations, the description carries the full behavioral burden. It usefully discloses data freshness ('latest daily run') and the shape of the aggregate, but says nothing about whether results are cached, how often the daily run refreshes, or any access constraints. No params means low risk, so this partial disclosure is defensible but not rich.

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 front-loaded sentence that packs the aggregate's contents into a compact list with no filler. It is slightly list-like and omits an explicit verb, but nothing is wasted.

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, annotation-free read tool with no output schema, enumerating the returned aggregates (counts, percentiles, protocol versions, heaviest servers) effectively substitutes for a schema. The remaining gap is refresh/caching semantics, which is minor.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. No misleading parameter hints are present.

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 names the resource concretely and enumerates what the aggregate contains (server counts, token cost percentiles, protocol versions, heaviest servers), so an agent knows this is a report-style read, not a per-server lookup. It is clearly distinct in substance from check_server/lookup_server/search_servers, though it never says so explicitly.

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?

Usage is only implied: the aggregate framing suggests 'use this for an overview, use the siblings for individual servers,' but no when/when-not condition or alternative is stated. An agent can infer the split from the sibling names, but the description does not do the routing work.

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