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lacausecrypto

Sports Hub MCP Server

sportsdb_get_events_by_date

Retrieve sporting events on a specific date, with optional filters for sport or league.

Instructions

Get sporting events on a specific date. Optionally filter by sport or league name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesDate in YYYY-MM-DD format
sportNoSport name to filter by (e.g. 'Soccer')
leagueNoLeague name to filter by
Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It indicates a read operation but does not describe response format, pagination, error conditions, or rate limits. As a simple query, this is adequate but lacks completeness.

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 sentence that fully states the tool's purpose and optional filters. It is front-loaded with no wasted words, earning top marks.

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

Completeness3/5

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

Given the tool has 3 parameters, no output schema, and no annotations, the description covers the input but omits output details and behavioral edges (e.g., date range validation). An agent would need to infer response format from context.

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 coverage is 100% for all three parameters, each described in the schema. The description merely restates the filtering capability without adding new constraints or usage hints, resulting in baseline value.

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

Purpose5/5

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

The description uses the verb 'Get' and noun 'sporting events on a specific date', clearly stating the tool's function. It distinguishes from sibling tools like sportsdb_get_event_details and sportsdb_get_last_events by focusing on date-based listing with optional filters.

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

Usage Guidelines4/5

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

The description implies usage for retrieving events by date with optional filtering, but does not explicitly contrast with alternatives (e.g., 'use this for date-based queries, not for event details'). However, the purpose is clear enough that an agent can infer appropriate contexts.

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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