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tomek7667

mcp-ctftime

by tomek7667

ctftime_votes

Retrieve voting data for CTF cybersecurity competitions in a specified year to analyze event preferences and community feedback.

Instructions

Get event votes for a year.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesYear (e.g., 2025).
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 only states what the tool does ('Get event votes') without describing traits like whether it's read-only, requires authentication, has rate limits, or what the output format might be. This is a significant gap for a tool with no 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 with zero waste. It's front-loaded and appropriately sized for a simple tool, making it easy 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 lack of annotations and output schema, the description is incomplete. It doesn't explain what 'event votes' entails (e.g., format, scope, or limitations), leaving gaps in understanding the tool's behavior and output. For a tool with no structured data beyond the input schema, 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?

The description implies the 'year' parameter is used to filter votes, but it doesn't add meaning beyond what the input schema provides. Since schema description coverage is 100%, the schema already documents the parameter fully (e.g., type, range, example), so the baseline score of 3 is appropriate as the description adds no extra param details.

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 ('event votes for a year'), making the purpose understandable. However, it doesn't distinguish this tool from sibling tools like 'ctftime_event' or 'ctftime_events', which might also retrieve event-related data, so it lacks sibling differentiation.

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. It doesn't mention any context, prerequisites, or exclusions, leaving the agent to infer usage based on the name and parameters 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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