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Curo Peptide Research MCP: PepBank Studies, Peptide Lookup and Lab Reports (COAs)

Get product

get_product
Read-onlyIdempotent

Read every dose of one Curo product, with price, stock and the lab reports (COAs) for each lot. Call search_products first and pass a slug from its results. Use get_coa when the user gives a lot number.

Input Schema

NameRequiredDescriptionDefault
slugYesThe slug field from a search_products or get_product result.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / slug / description
      Added value: +"The slug field from a search_products or get_product result."
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, open-world, so the safety profile is covered. The description adds useful content disclosure — the response includes price, stock, and COA documents per lot — which the annotations cannot convey. It does not mention behavior for an invalid/stale slug or result size, keeping it short of a 5.

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?

Three short sentences, front-loaded with what is returned, then prerequisite, then the alternative tool. No filler or redundancy.

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?

There is no output schema, so the description carries the burden of describing return contents, which it does (price, stock, COAs per lot). With a single required parameter fully documented and safety covered by annotations, an agent has everything needed to call it correctly.

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 description coverage is 100% and the slug property already documents its origin ('The slug field from a search_products or get_product result'). The description largely restates that provenance plus an ordering hint, adding little semantic detail beyond the schema, so baseline 3 applies.

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?

States a specific verb and resource (read one Curo product) and names the payload: price, stock, and per-lot COAs. It is distinguishable from search_products (plural search) and get_coa (single lot lookup) without opening either schema.

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

Usage Guidelines5/5

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

Explicitly prescribes the upstream step ('Call search_products first and pass a slug from its results') and routes the alternative case ('Use get_coa when the user gives a lot number'). Both when-to-use and when-to-use-something-else are stated.

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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