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

The annotations already declare read-only, idempotent, non-destructive, and closed-world behavior. The description adds meaningful semantic context by clarifying that the data measures directory listings and activity rather than market share or adoption, which is behaviorally important for interpreting results.

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 two tightly written sentences with no repetition or filler. The signal list is front-loaded and the caveat about interpretation earns its place.

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?

Because an output schema exists, the description need not explain return values, and the annotations cover the safety profile. Still, for correct invocation the description leaves the date-window parameters under-specified and does not route the agent among siblings, making it only minimally complete.

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 description coverage for the from and to parameters, and the description only says results are in a window. It does not explain accepted date formats, inclusive/exclusive boundaries, default window, or which parameter represents the start versus end.

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 identifies the resource and enumerates the signal types: tools by category and pricing model, declared integrations, launches, and published reviews. It lacks an explicit action verb and does not directly distinguish itself from sibling tools, so it is clear but not fully differentiated.

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 provides a scope exclusion by stating these signals measure listings and activity on GTM Daily, not market share or adoption. However, it never says when to use this tool instead of siblings such as search_gtm_tools, get_gtm_public_trends, or list_gtm_tool_reviews, so usage is only implied.

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