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

Annotations already declare the read-only, idempotent, non-destructive profile, so the bar is lower. The description adds real behavioral context beyond that: the report surfaces last errors and distinguishes primary from best-effort sources, which is exactly the transparency an agent needs to distrust stale data.

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 content is front-loaded well, but the closing sentences are redundant: 'Free' appears twice and 'check the health of each primary source' restates the report's tier/health framing already given. Trimming would sharpen it without losing information.

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 and no parameters, the description carries the burden of describing the return value, and it does so by listing the reported fields. It stops short of return format or ordering details, which keeps it from a 5.

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?

The tool takes zero parameters, which is the baseline-4 case. Nothing in the description needs to compensate, and the schema is complete for a no-arg call.

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 deliverable (transparency report) on a defined resource (~40 data connectors) and enumerates what it contains: tier, cadence, last successful run, items ingested, last error. That is enough for an agent to identify it, though it never contrasts itself with a specific sibling.

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 clear when-to-use contexts: judging freshness before trusting a quiet feed, or spotting best-effort sources. However it names no alternative tools and states no exclusions, so the routing is implied rather than explicit.

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