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

Annotations already declare this a safe, idempotent, non-destructive read with no open-world access. The description adds real behavioral context beyond that: it discloses that the output may legitimately be empty ('can return no-remedy-needed') and that it makes no causal claim, both of which shape how an agent should interpret the result.

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 sentences, front-loaded with the core action and followed by the repertoire and the two behavioral caveats. No filler, though the parenthetical remedy list is dense and could be trimmed.

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-value detail is not required, and annotations carry the safety profile. However, for a 12-parameter tool with a nested preferences object and 33% schema coverage, the description leaves the input contract largely unexplained, which is a meaningful gap.

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 only 33% across 12 parameters (including a nested preferences object), so the description must compensate. It alludes to 'user preferences' and implicitly to topic via 'remedy protocol', but gives no meaning for date, time, place, coordinates, language, detail, or the required preference fields, leaving most parameters undocumented.

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 gives a specific verb and resource ('Builds a remedy protocol from the evidence ledger and user preferences') and enumerates the remedy repertoire it can draw on. It is clear about what the tool produces, but it never names or distinguishes itself from close siblings such as analyze_remedies, build_remedy_repertoire, or analyze_lal_kitab_remedies.

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 guidance and no mention of alternatives, despite several sibling tools that also deal with remedies. The only signals ('can return no-remedy-needed', 'does not claim causality') describe behavior, not the conditions under which an agent should select this tool over analyze_remedies or build_remedy_repertoire.

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