CTFtime MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool retrieves information (implying a read-only operation) and mentions the return includes comprehensive details like format and participants, which adds some context. However, it lacks critical behavioral details such as whether authentication is required, potential rate limits, error handling for invalid IDs, or if the data is real-time vs. cached, leaving significant gaps for an agent to understand operational constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is highly concise and well-structured, with a clear opening sentence stating the purpose, followed by brief but informative 'Args' and 'Returns' sections. Every sentence earns its place by adding value—no redundant or vague language—and it's front-loaded with the core functionality.

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

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

Given the tool's low complexity (1 parameter, no nested objects) and the presence of an output schema (which handles return value documentation), the description is largely complete. It covers the purpose, parameter meaning, and return scope adequately. However, the lack of annotations means it could benefit from more behavioral context (e.g., auth needs), slightly reducing completeness for safe agent operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaningful semantics beyond the input schema, which has 0% description coverage. It explains that 'event_id' is a 'CTFtime event identifier' and specifies it's required to retrieve details for a 'specific' event, clarifying the parameter's purpose and usage context. This compensates well for the schema's lack of descriptions, though it doesn't detail format constraints (e.g., numeric range).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Retrieve') and resource ('detailed information about a specific CTF event'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_event_results' or 'search_events', which might also retrieve event information but with different scopes or filters.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage by specifying it's for retrieving details about a 'specific' event using an 'event_id', suggesting it should be used when you have a particular event in mind. However, it doesn't provide explicit guidance on when to choose this tool over alternatives like 'search_events' (for broader queries) or 'get_event_results' (for outcome-focused data), leaving some ambiguity.

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