panelica_spam_get_v1_spam_statistics

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds the required scope 'email:read', which is auth-relevant context not present in annotations, and confirms the read-only nature without contradicting structured metadata.

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 compact and front-loaded with the core purpose, followed by minimal operational details (HTTP method, category, scope, read-only). Every line adds necessary context and there is no redundant prose.

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?

Operationally, a zero-parameter read-only GET is simple to invoke with the provided endpoint and method. However, the absence of an output schema means the description does not clarify what 'spam statistics' actually return (global vs per-account, time ranges, counts), which weakens selection confidence among similar stats tools.

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 input schema has zero parameters and 100% coverage, so there is no parameter meaning to explain. The no-parameter baseline of 4 applies.

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?

Description states a clear verb and resource: 'Get spam statistics', reinforced by the HTTP path GET /v1/spam/statistics and Category: Spam. It is distinguishable from sibling spam blacklist/whitelist endpoints, though it does not detail what the statistics contain.

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 about when to use this tool over the many other statistics endpoints in the sibling list, such as mail queue stats, access stats, or domain stats. The description only provides endpoint and auth details, leaving selection to inference.

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