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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), so the bar is lower, and the description still adds real behavioral context: results are workspace-scoped, attribution is deliberately separated from causal claims, and missing spend/cost data is surfaced rather than fabricated. It stops short of describing the response shape, which matters since there is no output schema.

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?

Two tight sentences with the verb and scope front-loaded and no filler. Density is high, though terms like "PromptUI GTM" and "verified commerce outcomes" assume context an agent may not have.

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 no-parameter, read-only tool with no output schema, the description conveys what the result covers (channel analytics, commerce outcomes) and how to interpret it (attribution ≠ causality, explicit coverage gaps). What is missing is any sense of the return structure or granularity, which the absent output schema leaves entirely on the description.

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; baseline applies. Nothing in the text conflicts with the empty schema.

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 opens with a concrete verb ("Read") and names the resource precisely: PromptUI GTM channel analytics plus workspace-scoped verified commerce outcomes. It is distinguishable from all siblings (build/deploy/content tools) because no other tool touches analytics, though it never explicitly states that 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?

Usage is only implied by the phrase "current ... analytics" — there is no statement of when to call this versus gtm_list_content or web_scout, and no prerequisites or exclusions. The caveat about attribution vs causality is an interpretation note rather than routing guidance.

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