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

With no annotations, the description carries the full burden and does so well: it discloses that only public site-published reviews are returned, the new-to-old sort order, the empty-reviews/total=0 case, and the isError response for a nonexistent slug. These are exactly the behavioral quirks an agent needs to interpret results correctly.

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 purpose is front-loaded and every sentence carries information: scope, return shape, edge cases, and routing. It is somewhat dense, but not padded; the small structural loss is from packing many facts into one paragraph.

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?

There is no output schema, so the description must document the return shape and result semantics. It lists all returned fields, explains total/reviews behavior, defines rating scale, covers the not-found error, and gives a selection rule—complete for a read-only lookup tool.

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 coverage is 100%, so the baseline is 3. The description mentions slug and review count only in passing; the schema already defines slug provenance and the limit range/default, so no compensation is required.

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 and resource: returns the latest public borrower reviews for one MFO by slug. It also names the distinguishing output fields and points to get_mfo for summary ratings, so an agent can tell this tool apart from the sibling suite.

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?

Explicitly says to use it for reputation and customer-experience questions and routes summary rating/conditions to get_mfo. It does not enumerate exclusions against every sibling, but the main alternative is named.

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