Skip to main content
Glama

Get one drink

get_drink

Everything the store publishes about one drink, as Markdown: facts, price, caffeine options, description and the page to buy it from.

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": {
      "slug": "<slug>"
    },
    "name": "get_drink"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesThe drink slug, for example grape-madness

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, but it does disclose useful behavioral detail: the return format (Markdown) and the contents of the payload (facts, price, caffeine options, description, purchase page). It says nothing about whether the operation is read-only, authentication needs, or what happens for an unknown slug.

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?

A single front-loaded sentence that enumerates the payload contents without filler. Every clause contributes information and nothing is repeated from the title or schema.

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

Completeness4/5

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

With no output schema, the description usefully enumerates what comes back, which is the main completeness gap it needed to fill. It falls short only on operational context (read-only nature, error behavior, permissions), which is minor for a simple one-parameter lookup.

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 single 'slug' parameter is already documented with an example ('grape-madness'), so the baseline is 3. The description adds no additional meaning about the slug's format, resolution rules, or failure behavior beyond what the schema provides.

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?

States a specific verb (get) and resource (one drink) plus the scope of what is returned, so it is clearly a single-item detail fetch. It implies a contrast with search_drinks ('one drink'), but never names the sibling or states the distinguishing condition explicitly.

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?

There is no when-to-use guidance, no mention of when this is the wrong choice, and no pointer to search_drinks or read_page for the cases this tool does not cover. The only hint at usage is the implicit need to already know a drink, which is not stated.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources