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

With no annotations, the description carries the full behavioral burden. It discloses one useful behavior – that the response lists the available fields – but says nothing about read-only nature, permissions, pagination (limit/offset), or result shape, leaving most behavior undisclosed.

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 text is front-loaded with what the tool returns, then walks through the key parameters with backtick-delimited names. It is compact and free of filler, though the run-on structure of the kind clause slightly blurs the parameter breakdown.

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?

For an eight-parameter tool with zero schema coverage and no annotations, the description covers the core query semantics but omits pagination, the space scoping parameter, and the required review_id, and gives only a hint about the response shape. It is usable but not complete.

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 compensate. It does so well for four of eight parameters – kind (three documented values), q (with a concrete example), study (accepted id/title/DOI/PMID forms), and fields – but leaves review_id, limit, offset, and space unexplained.

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 identifies a specific resource – per-study records an ingested review produced – and enumerates the three record kinds (charting, appraisal, narrative), which makes the content type unambiguous. The verb is only implied (retrieval), and it never names how it differs from siblings like synthscholar_studies or synthscholar_evidence, so it stops short of full sibling differentiation.

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?

There is no explicit when-to-use or when-not-to-use guidance and no mention of the sibling tools that also return review data. The kind enumeration implies which data category to request, but that is parameter meaning rather than usage guidance, so an agent gets no routing help.

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