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Crawlora MCP

fiveguys_store

Read-only

One Five Guys restaurant's full published profile by its locator path (from fiveguys_search/fiveguys_nearby locations[].path or fiveguys_directory children[].path): address, phone, weekly in-store hours, separate delivery hours, coordinate, Google Place id, and amenity labels.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoA restaurant's entity id, from GET /fiveguys/search or /fiveguys/nearby's locations[].id. Either path or id is required; id is one upstream call cheaper.
pathNoA restaurant's locator slug, from GET /fiveguys/search or /fiveguys/nearby's locations[].path, or GET /fiveguys/directory's children[].path where is_location is true. Either path or id is required.

Output Schema

TableJSON 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
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 useful content context (separate delivery vs in-store hours, Google Place id, amenity labels) but no extra behavioral traits like auth or rate limits. With annotations carrying the safety burden and an output schema present, a 3 is appropriate.

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?

A single front-loaded sentence: purpose, then identifier provenance, then the field list. The long enumeration of returned fields is dense but each item earns its place by describing the profile. Slightly overloaded but not wasteful.

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 detail lookup with an output schema and full annotation coverage, the description supplies what an agent needs: the resource, the input provenance, and the returned content. Listing fields is partly redundant against the output schema, but nothing required is missing.

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 both id and path already carry detailed provenance notes, including that id is one upstream call cheaper. The description adds only marginal framing ('by its locator path'), so the schema does the heavy lifting — baseline 3.

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 (retrieves the full published profile) and resource (one Five Guys restaurant) and identifies it as a detail/lookup endpoint distinct from the search, nearby, and directory siblings. An agent can tell what it returns without opening the schema.

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 explicitly tells the agent where the required locator path/id comes from (fiveguys_search/fiveguys_nearby locations[].path or fiveguys_directory children[].path), which effectively routes usage. It stops short of stating when-not-to-use or naming a full alternative flow, so it is clear context rather than exhaustive 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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