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DFS sports

get_dfs_sports
Read-onlyIdempotent

DFS sports. A separate dataset from sportsbook and Pick6.

Input Schema

NameRequiredDescriptionDefault
limitNo
offsetNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.1/5.0
Behavior2/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds only the dataset-separation fact, with nothing about result shape, ordering, or pagination behavior beyond the limit/offset parameters.

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?

Two short sentences with no filler, so nothing is wasted. But the brevity comes at the cost of substance rather than being tightly front-loaded information.

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?

With no output schema, zero parameter documentation, and only a one-clause purpose statement, the definition does not give the agent enough to call the tool confidently or predict what it returns. A tool that enumerates sports for a DFS dataset should at minimum say so.

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

Parameters2/5

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

Schema description coverage is 0%: neither limit nor offset carries any documentation in the schema, and the description mentions no parameters at all. The agent must infer standard pagination semantics entirely on its own, which is a clear gap given the low coverage.

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

Purpose2/5

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

"DFS sports" only restates the tool name and title; no verb or resource shape is given (does it list sports, return sport metadata, or something else?). The second sentence distinguishes it from sportsbook and Pick6 datasets, which is useful routing information, but the actual operation remains undefined.

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 note that this is 'a separate dataset from sportsbook and Pick6' implies the agent should pick this tool when working with DFS data, which is a hint at alternatives. However, it gives no explicit when-to-use condition and says nothing about how it relates to the DFS siblings (get_dfs_contests, get_dfs_slates, get_dfs_players).

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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