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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description still adds real value beyond that: output format (Markdown with figures, limits and a citation line), provenance (Dubai Land Department open data), freshness (updated daily) and a licensing/citation obligation — useful context for a consuming agent.

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?

Three sentences, front-loaded with the action and id format before provenance/citation details. Slightly dense on data-provenance trivia, but every sentence serves invocation or correct citation.

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 enumerates the return fields (id, title, text, url, metadata), describes the body format, and tells the agent how to cite. Nothing essential for calling it correctly is missing.

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 0%, so the description must carry the id parameter, and it does: it specifies the 'type:slug' format with a concrete example ('community:dubai-marina'). That is exactly the information the bare schema lacks.

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 (fetch) and resource (the full readable record for one search result by id), plus what the returned payload contains. It implies the link to the `search` sibling by saying the id comes from 'one search result', but never names `search` or explicitly contrasts itself with `get_entity`, so differentiation is clear-by-inference rather than stated.

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?

Usage is implied rather than spelled out: the reader infers you call `search` first, take an id, then call this. There is no explicit when-to-use/when-not statement or comparison against `get_entity` (which sounds like a plausible alternative for retrieving a single thing).

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