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DanielTomaro13

sportsdata-mcp

sportsbet_racing_popular_srms

Read-onlyIdempotent

Retrieve popular Same Race Multi (SRM) combinations for races or meetings by event, competition, or class IDs. Get win prices and leg selections to compare betting options across providers.

Instructions

Popular Same Race Multi (SRM) combinations for races / meetings.

Returns: {srms:[{eventId, legs:[{selectionName}], price:{winPrice}}]}

Auth: works without a key; SPORTSBET_REFRESH_TOKEN unlocks more if set.

Also answers this: entain_graphql_call, pointsbet_racing_srm.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsYesComma-separated ids at the chosen hierarchyLevel.
sortByNoSort order for returned SRMs.
maxItemsNoMax SRM combinations to return.
popularsrmsNoRestrict to popular SRMs only.
hierarchyLevelYesLevel the ids refer to: event, competition or class.
minUniqueCountNoMinimum distinct legs per SRM.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed7 schema fields changedv0.24.0
    • addedInput schema / properties / hierarchyLevel / description
      Added value: +"Level the ids refer to: event, competition or class."
    • addedInput schema / properties / hierarchyLevel / enum
      Added value: +[
      +  "event",
      +  "competition",
      +  "class"
      +]
    • addedInput schema / properties / ids / description
      Added value: +"Comma-separated ids at the chosen hierarchyLevel."
    • addedInput schema / properties / maxItems / description
      Added value: +"Max SRM combinations to return."
    • addedInput schema / properties / minUniqueCount / description
      Added value: +"Minimum distinct legs per SRM."
    • addedInput schema / properties / popularsrms / description
      Added value: +"Restrict to popular SRMs only."
    • addedInput schema / properties / sortBy / description
      Added value: +"Sort order for returned SRMs."
  2. Addedv0.1.1

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already mark this as read-only, open-world, and idempotent, and the description adds useful behavioral context: the return payload shape and the auth requirement ('works without a key; SPORTSBET_REFRESH_TOKEN unlocks more if set'). There is no contradiction with the annotations.

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 compact and front-loaded, with short labeled sections for purpose, return shape, auth, and related tool routing. The 'Also answers this' fragment is a bit ambiguous, but overall every section is brief and the core purpose comes first.

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

Completeness4/5

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

Given that annotations cover safety and the schema covers all parameters, the description fills the main remaining gaps by specifying the return shape and auth behavior. The ambiguous alias note is a minor weakness, but for a read-only list tool with full schema coverage, this is largely complete.

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 description coverage is 100%, so the input schema already explains all six parameters and their defaults. The description's 'Popular' and 'races / meetings' loosely echo the `popularsrms` and `hierarchyLevel` parameters, but it doesn't add meaning beyond what the schema already provides.

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 identifies the resource ('Popular Same Race Multi (SRM) combinations for races / meetings') and a Returns block that clarifies the output shape. The verb is implicit rather than explicit, but the tool's function is still unambiguous. It references overlapping sibling tools, though it doesn't clearly differentiate itself from them.

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

Usage Guidelines3/5

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

The 'Popular SRM combinations for races / meetings' phrasing provides clear context for when the tool is relevant. However, the only alternative guidance is the cryptic 'Also answers this: entain_graphql_call, pointsbet_racing_srm,' which doesn't state when to choose this tool over those or when not to use it.

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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