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DanielTomaro13

sportsdata-mcp

betr_pop_sgm_category

Retrieve current categories that contain popular Same Game Multis (SGM) for sports betting data.

Instructions

Categories that currently have Popular Same Game Multis.

Returns: {PopSGMCategoryItems:[{EventTypeId, MasterCategoryName, CategoryId, CategoryName}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations present, the description carries full burden for behavioral disclosure. It only states the return structure but does not mention whether the tool is read-only, requires authentication, has rate limits, or any other behavioral traits. For a data retrieval tool, this is insufficient.

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

Conciseness4/5

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

The description is concise with one sentence explaining the output and a line showing the return structure. It is front-loaded with the key purpose. However, it could be slightly more structured by separating the description from the return format.

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 that there are no parameters, no output schema, and no annotations, the description is minimally adequate. It explains what is returned and the fields. However, it does not clarify what 'Popular Same Game Multis' means, how the data is sourced, or any limitations. For a simple list tool, it's acceptable but not comprehensive.

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

Parameters4/5

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

The tool has zero parameters, so the baseline is 4 according to the rubric. The description does not need to add parameter information since there are none. It does describe the return structure, which is helpful but falls under completeness rather than parameter semantics.

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 clearly indicates the tool returns categories that currently have popular same-game multis. It specifies the resource ('Categories') and the condition ('currently have Popular Same Game Multis'). While it doesn't use an explicit verb like 'list' or 'retrieve', the meaning is unambiguous. It distinguishes from sibling tools like betr_pop_sgm_bet_data and betr_popular_market_links by focusing on categories.

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 its siblings. There is no mention of prerequisites, typical workflow, or alternatives. An agent would not know that after getting categories, it might want to call betr_pop_sgm_bet_data to get the actual bets.

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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