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NJP6969

IIITH Mess MCP Server

by NJP6969

cancel_meal

Cancel a registered meal in the IIITH Mess system by specifying the date and meal type to manage your meal schedule.

Instructions

Cancel a meal registration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meal_dateYesDate in YYYY-MM-DD format
meal_typeYesThe meal type
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Cancel a meal registration' implies a destructive mutation, but the description doesn't specify whether this requires specific permissions, whether cancellations are reversible, what happens to associated billing, or any rate limits/quotas. For a mutation tool with zero annotation coverage, this is inadequate.

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 states the core purpose without any wasted words. It's appropriately sized for a simple tool with only two parameters.

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?

For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after cancellation, whether there are confirmation steps, what the return value looks like, or how this interacts with billing systems. Given the complexity implied by sibling tools like 'get_cancellation_window' and 'get_cancellation_count', more context is needed.

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%, with both parameters clearly documented in the schema. The description adds no additional parameter information beyond what's already in the structured schema, so it meets the baseline expectation but doesn't provide extra value.

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 ('cancel') and resource ('meal registration'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'uncancel_meal' or 'skip_meal', which appear to be related cancellation/meal modification tools.

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 about when to use this tool versus alternatives like 'uncancel_meal', 'skip_meal', or 'delete_monthly_registration'. There's no mention of prerequisites, constraints, or appropriate contexts for cancellation versus other meal modification operations.

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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