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Recommend supplements

recommend_supplements
Read-onlyIdempotent

HerStack's named Solgar UK supplement recommendations for a women's-health concern or cluster, each with formulation rationale and the authorised health claim (or a research-context note). Provide either cluster or concern.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clusterNoCluster slug: perimenopause, digestion, longevity, stress, exercise, nutrition, or skin.
concernNoA reader concern that routes to a cluster, e.g. 'Digestion and gut comfort'.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is established. The description adds useful behavioral detail about the output (formulation rationale, authorised health claim or research-context note) and the either/or input constraint, but it does not explain edge cases such as providing both parameters or neither.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no filler. The core deliverable and its content components are front-loaded, and the input instruction follows immediately. Every sentence contributes useful information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple and well-covered by enums and annotations, and the description explains the output content. However, the absence of required parameters combined with the 'Provide either' instruction creates ambiguity about what happens if both are supplied or neither is supplied, and this is not resolved anywhere in the structured fields.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, with both parameters fully documented via enums and descriptions. The description adds the 'either cluster or concern' relationship, which is valuable, but the schema already carries the semantic weight and the description does not substantially extend parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as providing HerStack's named Solgar UK supplement recommendations for a women's-health concern or cluster, with formulation rationale and authorised health claim. This specifies the resource and purpose, distinguishing it from the sibling tools in substance, though it does not explicitly name or compare against them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The only usage guidance is 'Provide either cluster or concern', which tells the agent what input to supply but gives no context on when to choose this tool over assess_concern or get_cluster_brief. There are no conditions, exclusions, or alternative-selection cues.

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

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