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List inbound orders

fixsim_list_orders_in
Read-onlyIdempotent

Orders the user's trading system sent INTO FIXSIM on a session (FIXSIM is the counterparty). Includes ClOrdID, symbol, side, quantity, remaining quantity, order status and the raw FIX message. Optionally filter by FIX OrdStatus code (tag 39): 0 new, 1 partially filled, 2 filled, 4 canceled, 8 rejected.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax rows to return, newest first (default 25, max 200)
apiKeyNo
sessionYes
instanceYes
orderStatusNoOptional FIX OrdStatus (tag 39) filter

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotentHint, so safety is covered; the description adds value beyond that by disclosing the returned payload (raw FIX message included) and the OrdStatus code semantics (0/1/2/4/8). It does not mention pagination behavior beyond the schema's limit note, which is a minor gap.

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?

Three sentences, fully front-loaded: the direction/scope claim comes first, then the returned fields, then the optional filter with its code legend. No filler and nothing repeated from the schema.

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?

With no output schema, describing the returned columns is exactly the right compensation, and it is done. What remains thin is the operational framing: nothing about instance vs session semantics or whether apiKey is required in some deployments. Sufficient for correct invocation, slightly short of 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 coverage is 40%. The description compensates well for orderStatus by expanding the tag-39 code table beyond the schema's terse note, but instance, session, and apiKey carry no meaning in either place. With roughly half the parameters undocumented, this lands at the baseline for a partial-coverage tool.

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 states a specific verb and resource and pins the direction precisely: orders the user's trading system sent INTO FIXSIM, with FIXSIM as counterparty. That phrasing cleanly separates it from the sibling fixsim_list_orders_out without needing to name it. It also enumerates the returned fields, so the agent knows exactly what it gets.

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?

Usage context is implied by the 'inbound orders on a session' scoping and by the optional OrdStatus filter, but there is no explicit when-to-use statement, no prerequisite (e.g. session must exist/is live), and no pointer to fixsim_get_order_in or fixsim_list_orders_out as alternatives. Adequate but leaves routing to inference.

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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