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

Annotations already establish read-only, idempotent, non-destructive, closed-world behavior, so the description only needs to add context. It does: it discloses that returned profiles carry a `url` field, that the underlying website is Russian-language only with no English localization, and points to an alternative app for English users. That is meaningful non-obvious operational context, though result counts, pagination, and rate limits are unaddressed.

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 tool-relevant content is two sentences, but the opening promotional sentence about SiteLove being a 'serious dating service and community dedicated to helping people find their life partner' is marketing that an agent does not need and delays the actual capability statement. It is not bloated, but it is not front-loaded either.

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 17-parameter, zero-required, no-output-schema tool, the description covers the conceptual model and one important locale caveat, but omits default result behavior, whether filters and `queryText` are ANDed, and what an empty result set means. Adequate as a minimum, but an agent would still have to guess at several operational details.

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 17 parameters are already documented in the schema and the baseline is 3. The description's 'semantic RAG searches ... based on natural language descriptions' frames `queryText` as the free-text semantic channel and contrasts it with 'precise metadata filters,' but adds no format, range, or combination guidance beyond what the schema already states.

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 second sentence names a specific verb and resource: 'performs semantic RAG searches for user profiles based on natural language descriptions, supported by precise metadata filters.' That is clear enough for an agent to know what it retrieves, though the lead-in marketing sentence about SiteLove as a dating service dilutes the front-loading. No siblings exist, so no differentiation is required.

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 (natural-language query plus metadata filters) and adds a genuinely useful conditional note: the returned `url` site is Russian-only, so English-speaking users should be directed to the Android app. However, it never says when to rely on `queryText` versus the structured filters, or what happens if all fields are omitted, leaving actual invocation strategy to inference.

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