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NJP6969

IIITH Mess MCP Server

by NJP6969

register_meal

Register for a specific meal at IIIT Hyderabad messes by selecting date, meal type, and mess location to manage student meal plans.

Instructions

Register for a meal at a specific mess

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meal_dateYesDate in YYYY-MM-DD format
meal_typeYesThe meal type
meal_messYesMess ID (e.g., yuktahar, kadamba-veg, kadamba-nonveg)
guestsNoNumber of guests (optional)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Register for a meal,' implying a write operation, but does not specify permissions required, whether registration is reversible, rate limits, or what happens on success/failure. This is a significant gap for a mutation tool with zero annotation coverage.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it easy for an agent to parse quickly.

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

Completeness2/5

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

Given the complexity of a registration tool with no annotations and no output schema, the description is incomplete. It fails to address behavioral aspects like error handling, side effects, or return values, which are crucial for an agent to use the tool effectively in a real-world context.

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?

The schema description coverage is 100%, with clear descriptions for all parameters, including an enum for 'meal_type.' The description adds no additional parameter semantics beyond what the schema provides, such as format examples or constraints, so the baseline score of 3 is appropriate as the schema handles the documentation adequately.

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?

The description clearly states the action ('Register for a meal') and the resource ('at a specific mess'), making the purpose evident. However, it does not explicitly differentiate from sibling tools like 'register_extra' or 'create_monthly_registration', which might handle similar registration tasks but with different scopes or parameters.

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?

The description provides no guidance on when to use this tool versus alternatives, such as 'register_extra' for extra registrations or 'create_monthly_registration' for bulk registrations. It lacks context on prerequisites, constraints, or typical scenarios, leaving the agent to infer usage from tool names alone.

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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