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

Annotations already provide readOnlyHint=true and idempotentHint=true, so the description's job is only to add contextual behavior. It does add useful context by clarifying the scope ('dedicated experience and pages') and non-exhaustiveness ('and more'), but it does not disclose the return format or whether the list is sorted or ordered. For a zero-param read-only tool this is acceptable but not rich.

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 sentences, no filler. The first defines what the tool returns with concrete examples; the second gives the exact use case. Every word earns its place and the key information is front-loaded.

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 zero-parameter list-retrieval tool, the description tells the agent what is included, gives representative values, and states when to use it. Combined with annotations (read-only, idempotent, closed world), it is nearly complete. A minor gap is the absence of an explicit statement that the return is a list of industry names, but the examples make that obvious.

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 no parameters, so there is nothing for the description to explain. The rubric sets a baseline of 4 for zero-parameter tools, and the description makes no conflicting or redundant parameter claims.

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 clearly identifies a get operation for a resource (industries Upforge has dedicated experience/pages for) and names concrete examples (AEC, healthcare, dental, legal, etc.). This makes the purpose specific and, unlike siblings like get_services, distinguishes an industry-vertical list from a service list.

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 second sentence explicitly tells the agent when to use the tool: for queries like 'do they work with ___ businesses' or 'do they know my industry.' This is strong usage guidance, but it does not mention when not to use it or point to a sibling alternative, so it falls short of a 5.

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