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Acceptances and fields

acceptances
Read-onlyIdempotent

Accepted fields for upcoming Australian meetings: runners, barriers, jockeys, trainers and weights, before the markets open. Costs 2 credits. Every plan.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "acceptances"
  }
}

Input Schema

NameRequiredDescriptionDefault
dateNoMeeting day, YYYY-MM-DD, Australian Eastern time.
venueNoVenue name as the feeds spell it, case-insensitive, e.g. Randwick or Sandown Hillside.

Output Schema

NameRequiredDescriptionDefault
dataYesThe API response, with links and empty fields removed.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is covered. The description adds genuinely new context not present in structured fields: the 2-credit cost and that it is available on every plan, which affects whether an agent should call it.

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?

Content is front-loaded in a single informative sentence followed by cost/plan notes; nothing is padded. The trailing fragment 'Every plan.' is slightly terse but does not obstruct comprehension.

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?

With an output schema and full parameter coverage, the remaining gap is behavioral scope: no parameters are required, yet the description does not say what happens when date or venue is omitted (all upcoming meetings? today only?). That omission is material for how an agent scopes the call.

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%, with date and venue fully documented in-schema, so baseline 3 applies. The description adds no format or filtering nuance beyond what the schema already states.

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?

Names the specific resource (accepted fields for upcoming Australian meetings) and enumerates the contents: runners, barriers, jockeys, trainers, weights. It clearly differs from odds/market siblings, though the overlap with race_card and race_form is left for the agent to infer.

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 phrase 'before the markets open' hints at timing (use it pre-market), but there is no explicit when-to-use guidance or named alternative among siblings like race_card or race_form. Usage must be inferred from the content list.

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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