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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety and openness profile is covered structurally. The description adds no behavioral context beyond that — no mention of what data is returned, whether a missing domain yields an error or empty result, or how it relates to the underlying dataset.

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?

A single compact phrase with zero filler, and the identifying key (domain) is stated up front. It is efficient, though its brevity edges toward under-specification rather than crisp conciseness.

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 values need no explanation, and the single parameter is fully documented. What is missing is any routing context against the sibling item/search/facet tools, which for a one-param lookup is the main remaining gap.

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?

Schema description coverage is 100%, and the schema itself documents 'domain' with an example (shopify.com). The description's 'by domain' adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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 states a specific resource (tech-stack dataset record) and its lookup key (domain), so an agent knows this is a point-lookup tool rather than a search or facet tool. However, it never names or contrasts with the close siblings datasets_techstack_search, datasets_techstack_facets, or web_techstack, leaving differentiation to inference.

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 phrase 'record by domain' only implies that a domain is required; there is no explicit when-to-use, when-not-to-use, or alternative routing guidance. An agent must guess whether this or datasets_techstack_search / web_techstack is the right call for a given task.

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