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

Annotations already declare read-only, idempotent, non-destructive, closed-world behavior, so the description isn't needed for safety. It does add genuine context beyond them: a 'right now' snapshot framing and the caveat that counts are exact, not estimated, which matters for how an agent should report the numbers.

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 short sentences, front-loaded with the core purpose, with the accuracy caveat second. Every clause carries information; nothing is padded.

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?

An output schema exists, so return shape needn't be explained, and there are no parameters to document. However, for an aggregate-stats tool whose value depends on what is being counted, the description never enumerates the counted dimensions, which an agent would need to judge relevance against the many sibling data-domain 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 tool takes zero parameters, so there is nothing for the description to clarify; baseline 4 applies. No parameter confusion is possible.

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?

States a specific verb and resource (aggregate counts of published content on GTM Daily), which is clearly distinguishable from the entity-level siblings like get_gtm_tool or search_gtm_launches. It stops short of naming what categories of content are counted, leaving the scope of 'what is published' slightly open.

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: an agent can infer this is the overview/summary tool versus the record-level siblings, but the description never says when to reach for it instead of list_gtm_data_domains or get_gtm_public_trends, and names no alternatives.

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