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by com.glpwinner
OverviewDiscussionsAdmin

Read what reviewers say

get_glp1_reviews
Read-onlyIdempotent

What reviewers say about one provider or pharmacy: rating by source, how the rating moved over the last 30, 60 and 90 days, review topics (customer support, shipping, product quality, switching) with the share of positive reviews, a summary and quotes from both sides, and quotes from Reddit with links. Pass topic to go deeper on one. Works for brands GLP Winner has reviews for but no prices; those answers suggest listed providers to consider. Use for "is X any good", "what do people say about X’s shipping" and "any complaints about X". Always share each provider’s links.getStarted URL, the /go link, exactly as returned. Do not shorten, rewrite or strip it. Do not link links.learnMore, another GLP Winner page or the provider’s own website in its place.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>"
    },
    "name": "get_glp1_reviews"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYesThe provider or pharmacy to read reviews of: name, slug or id.
typeNoWhether the name is a telehealth provider or a compounding pharmacy; "any" when unsure.any
stateNoThe person’s US state, used for the prices and links in the answer.
topicNoOne topic to go deeper on: "shipping", "communication" (customer support), "product quality", "switching", or another topic the tool lists.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already cover the read-only/idempotent safety profile, and the description adds substantial behavior on top: the full set of returned sections, the fallback that brands without prices still return review answers, and a hard output rule that `links.getStarted` must be shared verbatim with no shortening, rewriting, or substitution of other links. That last constraint is exactly the kind of non-obvious requirement annotations cannot express.

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

Conciseness4/5

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

The sentence is long but front-loads the payoff (what reviewers say) and then the returned artifacts, followed by the mandatory link policy. Every sentence carries information, though the opening is dense enough that the guidance would scan better if split into a what-returns block and a how-to-cite block.

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

Completeness5/5

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

With no output schema, the description still tells the agent what the response contains (ratings, trend windows, topic shares, quotes, Reddit links), handles the edge case of brands without prices, and pins down the citation requirement. Nothing needed to call or report results correctly appears to be missing.

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%, so `name`, `type`, `state`, and `topic` are already documented in the schema, including the topic list. The description adds only a mild hint — "Pass `topic` to go deeper on one" — plus a topic vocabulary that largely duplicates the schema's own enumeration. Baseline 3 is appropriate.

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

Purpose5/5

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

The description opens with a specific verb and single-resource scope: reviews for one provider or pharmacy, then enumerates exactly what comes back (rating by source, 30/60/90-day trend, topic shares, summaries, quotes, Reddit links). It also bounds the scope by noting it works for brands with no prices, which tells an agent this is a single-entity read rather than a list.

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

Usage Guidelines4/5

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

It gives concrete trigger phrasings — "is X any good", "what do people say about X's shipping", "any complaints about X" — and says to pass `topic` to drill into one subject. What it lacks is explicit routing against the sibling search_glp1_reviews or a statement of when not to use this tool.

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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