datasets_techstack_item

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

No annotations are provided, so the description carries the full burden. It discloses the 404 behavior for missing domains and enumerates the returned fields (technologies, rollups). For a read-only dataset lookup, this is transparent enough, though it doesn't mention rate limits or authentication.

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 long sentence that front-loads the purpose. It lists details efficiently but could be slightly more concise. Overall, it's well-structured and informative.

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?

No output schema exists, so the description must describe return values. It thoroughly explains the returned data: each detected technology (name, categories, confidence, version, evidence) and rollup categories (CMS, e-commerce, CDN, web-server, server-language). This is complete for a single-domain lookup.

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 coverage is 100%, so baseline is 3. The description adds value by providing an example domain (shopify.com) and noting that scheme and 'www.' are stripped, which clarifies input formatting beyond the schema.

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 states the tool retrieves a site from the 'techstack' dataset by domain, listing specific data fields (technologies with details, rollups). It distinguishes from siblings like datasets_techstack_search (search) and datasets_techstack_facets (facets).

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 implies usage when you have a specific domain to look up, but does not explicitly state when to use this tool vs. alternatives such as datasets_techstack_search for broader queries. No exclusion criteria or alternative tool names are provided.

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