Skip to main content
Glama
NJP6969

IIITH Mess MCP Server

by NJP6969

get_cancellation_count

Check your monthly meal cancellation count for breakfast, lunch, snacks, or dinner at IIIT Hyderabad mess to track usage and manage meal plans.

Instructions

Get how many cancellations you've used this month

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mealYesThe meal type
monthNoMonth (1-12). Defaults to current month.
yearNoYear. Defaults to current year.
Behavior2/5

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

With no annotations provided, the description carries full burden but only states what the tool does without behavioral details. It doesn't disclose whether this is a read-only operation, if it requires authentication, rate limits, or what the output format might be (e.g., a count number). This leaves significant gaps for an agent.

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, clear sentence with zero waste—it directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, 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 no annotations and no output schema, the description is incomplete for a tool with behavioral implications. It doesn't explain what the return value is (e.g., a numeric count, an object), error conditions, or dependencies, leaving the agent with insufficient context for reliable invocation.

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 parameters (meal, month, year). The description adds no additional meaning beyond implying the count is per meal and month, which is already covered by the schema. Baseline 3 is appropriate as the schema handles parameter documentation.

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 ('Get') and resource ('cancellations you've used this month'), making the purpose understandable. It specifies a monthly scope but doesn't differentiate from similar tools like 'get_max_cancellations' or 'get_cancellation_window', which prevents a perfect score.

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 guidance is provided on when to use this tool versus alternatives like 'get_max_cancellations' (which might show limits) or 'get_cancellation_window' (which might show allowed periods). The description implies usage for tracking personal cancellations but lacks explicit context or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/NJP6969/IIITH-mess-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server