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Your orders

my_orders
Read-onlyIdempotent

Your orders and their status (requested, paid, queued, running, done, past_due when a renewal failed, cancelled), followup_available and followups_left, an Audit's goal (target_level) and its renewal (renewal: price_cents, opens, closes, open), and a free check's check_state (failed: it didn't finish; retrying: our side stopped it and it runs again by itself; late: it waits longer than usual) with check_reason, why in plain words and what to do.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds interpretation of returned states (e.g., past_due when a renewal failed; check_state failed/retrying/late), which is useful, but it discloses no behavioral traits beyond that, such as auth requirements, scope of results, or side effects to expect.

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

Conciseness3/5

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

It is a single, very dense sentence built from nested parentheticals, which makes it hard to scan and parse. The resource is front-loaded, but the run-on enumeration of statuses, fields, and definitions lacks structural breaks that would help an agent extract the relevant piece.

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 input parameters and no output schema, the description must carry the weight of describing what is returned, and it does so thoroughly across order statuses, followup fields, audit goal/renewal, and check state. It stops short of describing result shape, ordering, or pagination, but is otherwise sufficient for a no-arg read tool.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate at the input level. Baseline of 4 applies for a no-parameter tool.

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 names a specific resource (the user's orders) and enumerates what the returned data covers (order statuses, followup fields, audit goal/renewal, check state). It is clearly a read/list tool and is distinguishable from write-oriented siblings like order, pay_order, and cancel_monthly. It lacks a clean verb ('list'/'get'), presenting as a data inventory rather than a purpose statement.

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

Usage Guidelines2/5

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

There is no statement of when to call this tool versus alternatives such as balance, order, or whoami, and no prerequisites or exclusions are given. Usage is only implied by the resource name. An agent gets no routing guidance.

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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