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Restaurant Reservation MCP Server

set_login

Store encrypted login credentials for automated restaurant reservation systems to maintain session access and enable automatic token refresh functionality.

Instructions

Store email/password for automatic token refresh. Credentials are encrypted in Windows Credential Manager.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformYesPlatform (currently only Resy)
emailYesAccount email
passwordYesAccount password
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses key behavioral traits: it stores credentials for token refresh and encrypts them in Windows Credential Manager, which is useful context. However, it lacks details on permissions, security implications, or error handling.

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?

The description is front-loaded with the core purpose and efficiently adds encryption details in a second sentence, with zero wasted words. It is appropriately sized for the tool's complexity.

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

Completeness3/5

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

Given no annotations and no output schema, the description provides basic purpose and storage context but lacks completeness for a security-sensitive tool. It misses details on success/failure responses, validation, or integration with other tools like 'refresh_token'.

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 the schema fully documents all three parameters. The description adds no additional meaning beyond what the schema provides, such as format or usage details for the 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?

The description clearly states the specific action ('Store email/password for automatic token refresh') and resource ('Credentials are encrypted in Windows Credential Manager'), distinguishing it from sibling tools like 'set_credentials' by specifying the storage mechanism and purpose.

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?

No explicit guidance on when to use this tool versus alternatives like 'set_credentials' or 'refresh_token' is provided. The description implies usage for token refresh but lacks context on prerequisites or exclusions.

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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