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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds only that results are 'enriched public profiles' from a 'stored dataset' and that matching user records are returned, which is modest context and omits pagination limits already implied by the schema.

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 tight sentences with no waste; the primary purpose is front-loaded and the routing hint follows immediately.

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 not be explained, and annotations cover the read-only profile. The definition covers purpose and one routing case adequately for a 30-param search tool, though it is silent on how it relates to the facets and nearby siblings.

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 all 30 parameters are already fully documented in the schema. The phrase 'using a query and filters' adds nothing beyond what the parameter descriptions provide, 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?

States a specific verb and resource ('Search the stored GitHub users dataset for enriched public profiles') and names one sibling ('use the item endpoint') so an agent can route away from it. It does not, however, distinguish itself from the facets or nearby siblings that also operate on the same dataset.

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?

Gives an explicit when-to-use-the-other-tool rule: use the item endpoint when a dataset record ID is already known. That is a clear alternative with a selecting condition, though no guidance is offered for choosing between this, facets, or nearby.

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