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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the 'rolling' nature of the snapshot and the categories included, but does not disclose additional behavioral details such as data freshness, pagination, or response shape.

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 one clear, front-loaded sentence followed by a minimal call example. Every part earns its place, with no filler or redundant restating of the tool name.

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 one-parameter, read-only tool with rich annotations, the description covers the tool's purpose and the main output categories. It does not specify exact output formatting or refresh cadence, but the 'rolling' wording and listed data types give an agent enough context to select and invoke it correctly.

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?

There is only one parameter, _apiKey, and the schema provides 100% coverage with its description and link. The description's example call adds a usage template but no extra semantic meaning beyond the schema, so the baseline of 3 is appropriate.

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 names a precise verb ('Get') and a specific resource ('rolling AI-funding trends snapshot from StartupHub.ai'), and enumerates the snapshot's contents (capital deployed, biggest rounds, hot sectors/stages/exits). This clearly distinguishes it from sibling tools like startuphub_startups or startuphub_investors, which target individual entities rather than market-wide trends.

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 intended use is implied by the description: call this when you want an AI-funding trends snapshot. However, it does not explicitly state when not to use it or point to alternatives such as startuphub_startups or startuphub_investors for company-level data.

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