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

No annotations are provided, so the description carries the full behavioral burden. It discloses returned content (measured results and ai_context) and hints at pending-state semantics, but the phrase 'Pending is not delivery' is too cryptic to fully clarify status behavior, and auth/error behavior is not described.

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 short and front-loads the core operation. The middle sentence ('Pending is not delivery') is vague enough to feel like jargon rather than clear guidance, but the overall structure remains 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?

For a simple read tool with one parameter and no output schema, the description gives the essential lookup context and names returned fields. It is missing clearer explanation of pending semantics, error handling, and the privacy/authorization assumptions around the report token.

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?

Schema coverage is 0%, so the description must compensate for the single token parameter. It does add meaning by identifying the token as a 'saved private report token', but it does not explain token provenance, expected format, or failure cases beyond what the schema pattern already enforces.

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 verb (Read) and resource (guest test), and anchors it to the saved private report token. It also explicitly rules out listing, deletion, and managed-key reports, which separates it from the create and provider-list siblings.

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 clearly implies use when you have a saved private report token and need measured results plus ai_context. The exclusion sentence gives useful boundaries, though it does not explicitly name guest_tests_create as the alternative for creating tests.

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