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TradingCalc MCP: Options, Forex, Risk Stats, Prediction Markets, On-Chain & Crypto Futures

Batch

system.batch
Read-only

Run up to 10 calls of other tools in one request and get all results back together, in order. Each entry is {name, arguments} exactly as for a single call; each result carries its own signature block, so every one verifies on its own. The batch call itself is free: every entry counts as one call against the daily limit. A failed entry does not stop the others (it comes back with an error), except that once the daily limit is reached or the batch has run for about 20 seconds, the entries after that point are not run and not counted: the reply says so for each, so send them again. A batch cannot contain a batch. Entries run one after another, in order, and none sees the output of another.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "calls": "<calls>"
    },
    "name": "system.batch"
  }
}

Input Schema

NameRequiredDescriptionDefault
callsYes1 to 10 calls

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.7/5.0
Behavior5/5

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

Goes well beyond the annotations: per-entry cost against the daily limit, the ~20 second cutoff after which later entries are not run and must be resent, per-entry error isolation, sequential ordering with no visibility between entries, and per-result signature blocks. These are exactly the non-obvious behaviors an agent needs.

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

Conciseness5/5

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

Dense but zero-waste: the core operation is front-loaded, then cost model, then failure/timeout semantics, then ordering guarantees. Each clause carries independent operational meaning.

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

Completeness5/5

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

No output schema exists, yet the description covers result shape (ordered, individual signature blocks), partial failure, and truncation recovery. For a nested-call tool this is as complete as an agent could need.

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?

Schema coverage is 100% and documents the array shape, so the baseline is 3, but the description adds real meaning: entries are '{name, arguments} exactly as for a single call' and results are returned in order. Marginal gain over an already-complete schema.

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

Purpose5/5

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

States a specific verb and resource ('Run up to 10 calls of other tools in one request and get all results back together, in order') and is unmistakable against the dozens of single-workflow siblings. An agent can immediately tell this is the multiplexer of the toolset.

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

Usage Guidelines4/5

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

Explains the batching use case and gives an explicit exclusion ('A batch cannot contain a batch'), plus failure/timeout behavior that tells the agent how to react. It never literally says 'prefer this over 10 sequential calls' or names conditions for choosing it, which keeps it from a 5.

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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