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

readOnlyHint=true already establishes this as a safe read, so the bar is lower. The description adds the REST endpoint and the incremental-typing use context, but says nothing about rate limits, result ordering/pagination, or how many suggestions are returned by default.

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 tight sentence front-loads the tool's identity and function, with the endpoint appended as a secondary detail. No wasted text, though the leading phrase largely restates the title.

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?

With no output schema, the description could say more about what a suggestion contains, but it does cover purpose, use case, and endpoint. It is adequate for invocation but leaves return-shape and sibling-routing questions unanswered.

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% with 7 well-documented parameters (bias, lang, filter, type, limit, format), so the schema carries the parameter semantics. The description adds no parameter detail beyond what the schema provides, making the baseline 3 appropriate.

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 (suggest/complete) and resource (addresses/places) for a partial query, plus the upstream REST endpoint. It's clear what the tool does, but it does not explicitly contrast itself with the sibling geoapify_geocode_search, so an agent must infer the autocomplete-vs-search boundary.

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?

'ideal for as-you-type inputs' implies the usage context, which is genuine guidance. However, there is no explicit when-not or named alternative (e.g., use geocode_search for complete queries), so routing between siblings is left to inference.

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