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borakilicoglu

iddaa-mcp

get_events

Fetch sports events from the Iddaa sportsbook API, with options to filter by sport type and event type, to retrieve live events and league fixtures for analysis and automation.

Instructions

Fetch sports events from Iddaa sportsbook API

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stNoSport type filter (default: 1)
typeNoEvent type filter (default: 0)
localeNoLanguage for response text (default: tr)tr
versionNoAPI version (default: 0)
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 'Fetch ...' with no mention of read-only guarantees, response format, pagination, authentication, rate limits, or other behavioral traits. The verb 'fetch' weakly implies retrieval but does not disclose meaningful behavioral details.

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 concise sentence with no filler or repetition. Every word contributes to identifying the tool's primary function.

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?

While the parameter schema is fully documented, the tool has no output schema and no annotations. The description omits return format, filtering behavior, and how this tool relates to sibling event tools, leaving important gaps for an agent relying solely on the description.

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 input schema describes all four parameters (st, type, locale, version) with defaults and an enum for locale, achieving 100% schema_description_coverage. The description itself adds no parameter-level information, so the baseline 3 applies.

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 uses a specific verb ('Fetch') and identifies the resource ('sports events') and source API ('Iddaa sportsbook API'), clearly stating the core function. However, it does not differentiate this from sibling tools like get_detailed_events or get_highlighted_events.

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 lacks context such as intended use cases, exclusions, or mention of sibling tools, so an agent cannot determine when this is the right choice.

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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