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fixsim_send_order

Have FIXSIM send a New Order Single (35=D) OUT on a session to the user's system, so they can test how their system handles inbound orders. Follow up with fixsim_list_orders_out and fixsim_list_executions_in to see what came back.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideYesSide (tag 54): 1=Buy, 2=Sell, 5=Sell short
priceNoPrice (tag 44), required for limit orders
apiKeyNo
symbolYesSymbol (tag 55)
clOrdIdYesClOrdID (tag 11) to assign; must be unique on the session
ordTypeYesOrdType (tag 40): 1=Market, 2=Limit
sessionYes
instanceYes
orderQtyYesOrderQty (tag 38)
additionalTagsNoExtra FIX tags, e.g. [{tag:59,value:"0"}]

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations only declare destructiveHint=false. The description adds useful behavioral context about directionality and workflow, but says nothing about session prerequisites, what happens on failure, whether an apiKey is needed, or what state changes on the FIXSIM session. Adequate but not rich.

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?

Two sentences with zero filler. The primary action is front-loaded and the follow-up guidance is compressed into the second sentence.

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?

For a 10-parameter, no-output-schema mutation, the description compensates for the missing output schema by pointing at the two list tools that reveal what came back. Remaining gaps are minor: no explanation of instance vs session, apiKey, or error behavior.

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 70%, so most parameters (side, ordType, price, clOrdId, orderQty, additionalTags) are already documented with FIX tag mappings. The description mentions no parameters at all, so it adds no meaning beyond the schema; the baseline of 3 applies.

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?

The description names a specific verb and resource (send a New Order Single, 35=D) plus the direction of flow (OUT, from FIXSIM to the user's system) and the reason (testing inbound order handling). This cleanly distinguishes it from siblings like fixsim_send_raw_fix and fixsim_cancel_order_out.

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?

It states the scenario for using it (to test how the user's system handles inbound orders) and names the exact follow-up tools, fixsim_list_orders_out and fixsim_list_executions_in, to observe results. It does not, however, contrast against fixsim_send_raw_fix, which an agent might otherwise reach for to emit the same message.

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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