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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it does so thoroughly. It states results are deterministic and aggregate-only, clarifies that activity counts are requests rather than unique agents, and promises privacy guarantees by never exposing raw queries, IP addresses, user agents, or geography.

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?

Three dense sentences with the core purpose front-loaded, followed by scope constraints and privacy guarantees. Every sentence earns its place; there is no filler or repetition of schema content.

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 tool with four enum scopes and no output schema, the description helps an agent grasp the purpose and privacy posture but omits scope-by-scope return semantics and the behavior of 'period' when scope is not 'activity'. An agent could call the tool correctly at a high level but would still be uncertain about what shape each scope's statistics take.

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 schema documents 'period' with a description but 'scope' has only enum values with no explanation. The description maps two scopes to their meanings ('endpoint observations' to endpoints, 'machine requests' to activity) and implies the Index maps to overview/catalog, but it does not fully disambiguate each scope or clarify how 'period' behaves for non-activity scopes.

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 uses a specific verb ('Return') and names a precise resource ('selective WagerX Agentic Index', 'MCP/A2A endpoint observations', 'machine requests received by WagerX'), clearly communicating what the tool produces. It is specific enough to stand alone, though it does not name sibling tools for explicit differentiation.

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?

The description gives clear context for when to use the tool: aggregate-only statistics, with explicit exclusions like 'Official provenance, editorial status and endpoint health remain separate.' It does offer an implicit when-not signal by declaring those categories are out of scope, though no alternative tools are named explicitly.

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