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panera_upsell_suggestions

Read-only

Fetch Panera's suggested add-on items for menu products at one cafe_id. These item IDs belong to a separate ID space from /panera/menu item IDs; use panera_item_options, panera_menu, or panera_item_detail for the corresponding menu item and options.

Input Schema

NameRequiredDescriptionDefault
cafe_idYesRequired. Panera cafe id, from /panera/locations.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover the read-only and open-world profile, so the bar is lower, and the description earns credit by disclosing the non-obvious ID-space caveat (add-on item IDs are distinct from /panera/menu IDs). It does not discuss pagination or volume, but an output schema exists to carry return shape.

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?

Two sentences, front-loaded with the action and scope, then the ID-space caveat and sibling pointers. Dense but every clause carries information; no filler.

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?

For a read-only, one-parameter fetch with an output schema and annotations, the description supplies the one thing an agent would likely get wrong — that these item IDs are a separate space — and routes to the right sibling tools. Adequate and nearly complete, with only the exact coverage of the returned suggestions left implicit.

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 cafe_id parameter is fully documented in the schema as a required Panera cafe id sourced from /panera/locations. The description references cafe_id but adds no format or sourcing detail beyond what the schema already provides, so baseline 3 applies.

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?

Specific verb ('Fetch') plus a clearly scoped resource ('suggested add-on items for menu products at one cafe_id'). It also implicitly separates itself from menu-listing siblings via the ID-space note, though it doesn't state whether it returns upsells for all products at the cafe or a subset.

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?

Names the relevant alternatives (panera_item_options, panera_menu, panera_item_detail) and gives the condition for reaching for them — resolving the corresponding menu item and options. The condition for using THIS tool versus those is implied rather than stated, so it stops short of full when/when-not guidance.

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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