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cxOrz

meican-mcp

by cxOrz

meican_list_restaurants

Retrieve all restaurants serving in a meal session by specifying the tab unique ID and target time. Returns each restaurant's unique ID and name.

Instructions

List restaurants serving in one meal session. Returns each restaurant's unique_id and name. Get the args from meican_list_meal_tabs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
namespaceNoMeican namespace for the user's organization or site. Only meican_whoami uses this to scope organization info and pickup addresses; other tools ignore it.
target_timeYesFrom `meican_list_meal_tabs[].target_time`. Format: 'YYYY-MM-DD HH:MM'
access_tokenNoOptional Meican access token (cookie 'sat' on www.meican.com). If omitted, the server reads MEICAN_ACCESS_TOKEN from its environment.
refresh_tokenNoOptional Meican refresh token (cookie 'srt'). If omitted, the server reads MEICAN_REFRESH_TOKEN from its environment. On HTTP 401 the server refreshes once and returns the rotated pair in `_rotation`; persist it before the next call.
tab_unique_idYesFrom `meican_list_meal_tabs[].tab_unique_id`
Behavior3/5

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

No annotations provided, so description carries burden. It states it's a read operation returning restaurant IDs and names, but does not disclose authentication flow, error cases, or side effects. Schema descriptions cover token parameters, but description adds little beyond that.

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, no extraneous content. Front-loads core purpose and critical usage guidance.

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?

Given 5 parameters (2 required) and no output schema, description covers key outputs and prerequisite tool call. Could be improved by noting that a prior call to meican_list_meal_tabs is required, but the instruction to 'get the args' implies that.

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%, so baseline 3. The description repeats the schema's hints about meican_list_meal_tabs, adding no new semantic value for parameters.

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?

Clearly specifies 'List restaurants serving in one meal session' with return fields, distinct from sibling tools that focus on orders, meals, or menus.

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?

Explicitly directs agent to get arguments from meican_list_meal_tabs, guiding correct invocation order. Does not mention when to avoid or alternatives, but context suggests it's the natural next step.

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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