List GLP-1 medications with prices
list_glp1_medicationsEvery GLP-1 medication GLPcompare keeps a price list for, with how many ranked prices each has and its page.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_glp1_medicationsEvery GLP-1 medication GLPcompare keeps a price list for, with how many ranked prices each has and its page.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety and scope profile is fully covered by structured data. The description adds useful payload context (each entry carries a ranked-price count and a page reference). It says nothing about ordering, result size, or whether the full list is returned in one call, which would matter for a catalog-wide enumeration.
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?
A single front-loaded sentence with no filler; the scope ('every medication') and the per-item contents are packed efficiently. Slightly more structure (e.g. a clause on when to prefer the find_* siblings) would earn the fifth point without bloating it.
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?
With no parameters, no output schema, and rich annotations, the description's only remaining job is to convey what comes back, and it does: medication identity, count of ranked prices, and page. The gaps (ordering, pagination, whether prices themselves are included or only counts) are minor but real for an agent deciding whether it still needs a price-lookup call.
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?
The tool takes zero parameters, so there is no parameter semantics for the description to explain; the baseline for a 0-param tool applies. Nothing in the description misrepresents the empty input contract.
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 (implicitly 'list') and a specific resource: every GLP-1 medication GLPcompare has a price list for. The added scope detail ('with how many ranked prices each has and its page') makes the payload concrete. It does not name or contrast with the siblings find_glp1_prices / find_seller_glp1_prices, so an agent must infer the list-vs-search distinction from the verb alone.
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?
The phrase 'Every GLP-1 medication GLPcompare keeps a price list for' implies a full enumeration / discovery use case, which implicitly contrasts with the lookup-oriented siblings. But there is no explicit 'use this when' statement, no exclusions, and no pointer to the alternatives for price lookups or per-seller prices.
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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