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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered structurally. The description adds the notion of a 'permitted source' and 'safe' freshness, hinting at permission scoping, but does not elaborate on what it checks or any auth/rate constraints.

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 compact sentences with the core purpose front-loaded and the trigger immediately after. No filler, though the phrase 'safe synchronization freshness' is slightly vague.

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 described, and the description supplies purpose plus a usage trigger for a one-parameter tool. The remaining gap is the undefined 'source' argument, which is minor given the sibling list_sources.

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 single 'source' parameter has no documented meaning in the schema, and the description does not explain its format or how it relates to list_sources. The name is fairly self-evident in context, which keeps this at an adequate rather than failing 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 names a specific verb ('Return') and resource ('synchronization freshness and status'), so the agent knows this is a status/diagnostic read rather than a data query. It is clearly distinct from siblings like query_table or describe_table, though it never explicitly contrasts itself with them.

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?

A concrete trigger is given: 'Use when data appears stale or unavailable,' which tells the agent when to reach for this over a plain query. No exclusions or named alternatives are provided, so it stops short of a 5.

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