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

With no annotations, the description carries the burden, and it does disclose some behavior: a 302 redirect with UTM parameters should be followed first, task text is discarded, and several artifacts are returned. However, it does not clarify whether the tool itself performs network calls, what side effects it may have, or why the inputs are mostly discarded.

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 brief and front-loaded with a purpose statement, but the middle sentence is dense with unexplained jargon ('start_here.hop', UTM parameters) and the return list is ambiguous. It is concise, but not as clear or structured as it could be.

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?

A 10-parameter tool with no annotations and no output schema needs a clearer description of what input it actually uses, what it returns, and when to call it. The description leaves the core workflow ambiguous and does not compensate for the lack of structured behavioral metadata.

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%, so the parameters are already well documented individually. The tool description adds no meaningful parameter semantics beyond the schema, which is acceptable at this coverage level.

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 opens with a clear-ish purpose ('Find where a product can be placed so AI agents discover it'), but the rest is opaque: 'start_here.hop', 'machine catalog', 'client center', and 'operator' are unexplained. It does not meaningfully distinguish this tool from the many sibling index/fetch tools.

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?

No guidance is given on when to use this tool versus siblings like agent-tool-index, web-fetch, or people-search-index. The only instruction, 'Follow start_here.hop first', is a cryptic prerequisite rather than a usable usage criterion.

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