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DanielTomaro13

sportsdata-mcp

kalshi_milestones

Retrieve dated catalysts such as data releases, games, and decisions linked to event tickers for analysis.

Instructions

Milestones — dated catalysts (data releases, games, decisions) linked to the event tickers they resolve.

Returns: {cursor, milestones:[{id, category, details, end_date, primary_event_tickers, related_event_tickers}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
cursorNo
categoryNo
minimum_start_dateNo
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions pagination via 'cursor' and the return structure, but does not state whether the tool is read-only, requires authentication, or has rate limits. The lack of detail leaves significant gaps.

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

Conciseness3/5

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

The description is brief and to the point, but it sacrifices important details for brevity. It could be more structured (e.g., listing parameters and their effects) without becoming overly long.

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 tool has 4 optional parameters and no output schema, the description is incomplete. It fails to explain how to filter by category or date, how pagination works, or what the default behavior is. The return structure is described, but overall context is lacking.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must explain parameter usage. It does not mention any of the four parameters (limit, cursor, category, minimum_start_date) or their purposes, providing no added value beyond the schema itself.

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 states it returns milestones as dated catalysts linked to event tickers, which is clear. However, it lacks an explicit verb (e.g., 'list' or 'get'), and while it distinguishes from siblings by introducing a new concept, it could be more precise.

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 kalshi_events or kalshi_market. The description does not mention use cases, prerequisites, or exclusions.

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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