Crawlora MCP

jimmy_johns_modifiers

Read-only

Fetch the full Jimmy John's menu-product customization tree as choice records by product_id, including size, bread, ingredient choices, prices, and calorie deltas. Use jimmy_johns_menu to discover products.

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": {
      "product_id": "<product_id>"
    },
    "name": "jimmy_johns_modifiers"
  }
}

Input Schema

Name	Required	Description	Default
`product_id`	Yes	Required. Product id from a /jimmy-johns/menu product.

Output Schema

Name	Required	Description	Default
`data`	Yes	The tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 5, 2026

TDQS

A4.1/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds that results are returned as 'choice records' with price and calorie-delta fields, but with an output schema present this mostly restates return content rather than disclosing new behavioral traits like depth limits or rate limits.

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, both front-loaded with the operation first and the prerequisite second. Nothing is redundant or padded.

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?

For a single-parameter lookup with full schema coverage, an output schema, and safety annotations, the description supplies everything an agent needs: what it returns, how to get a valid id, and that it is a read. No gaps remain.

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% and the single parameter is fully documented in the schema, so the baseline is 3. The description adds a small amount by implying the product_id comes from the menu tree, but no format or edge-case detail beyond the schema.

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 ('Fetch the full Jimmy John's menu-product customization tree as choice records by product_id') and enumerates exactly what the records contain (size, bread, ingredients, prices, calorie deltas). It is unmistakably distinct from sibling jimmy_johns_menu, which the description contrasts against.

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 routes the agent correctly: 'Use jimmy_johns_menu to discover products' establishes the prerequisite for obtaining a valid product_id. There is no explicit when-not guidance or mention of alternatives beyond that one dependency, but the usage context is clear.

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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