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List orders

list_orders
Read-only

List orders (ticket/product purchases). Raisely API: GET /orders. Filter via params. Returns { data:[...], pagination }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax records to return (Raisely `limit`, default 20).
offsetNoRecords to skip for pagination (Raisely `offset`, default 0).
paramsNoAdditional documented query-string filters to send verbatim (e.g. campaign, status, sort, order, private) — merged with the typed limit/offset above.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

The annotation readOnlyHint is true, and the description confirms a read-only GET operation. The description adds a note about the return shape ('Returns { data:[...], pagination }') and clarifies what orders are, but it does not disclose additional behavioral traits like pagination limits, rate limits, or authentication requirements. The safety profile is covered by annotations, so the added detail is modest.

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?

The description is concise, consisting of four short, information-dense sentences. It covers purpose, endpoint, filtering, and a minimal return shape with no fluff or repetition. The structure front-loads the core purpose and then provides necessary technical details, earning a perfect score.

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?

Given the simple scope of the tool (3 optional params, no required fields, no output schema), the description is sufficiently complete. It provides the endpoint, the semantic meaning of orders, filtering capability, and return shape. The schema covers parameter details, and the annotation covers the read-only nature. It stops short of explaining pagination behavior beyond the shape, but that is not critical for a basic list operation.

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?

All three parameters have descriptive entries in the schema (100% coverage per context signals). The description merely echoes 'Filter via `params`' without adding any new meaning beyond the schema's detailed descriptions for limit, offset, and params. The baseline of 3 is appropriate because the schema already handles the heavy lifting.

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 clearly states the verb 'List' and the resource 'orders', with a parenthetical clarification that orders are 'ticket/product purchases'. This distinguishes it from sibling list tools like list_donations and list_posts. The inclusion of the API endpoint 'GET /orders' further reinforces the specific purpose.

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 description gives a direct instruction to 'Filter via `params`', which is a usage guideline for how to call the tool. However, it does not provide any context on when to use this tool versus alternatives, such as list_donations or list_user_donations, and does not mention any exclusions or prerequisites. The guidance is implied rather than explicit.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool is clearly scoped to a specific resource and action. The get_/list_/create_/update_ prefixes distinguish reads from mutations, and the convenience listers are explicitly labeled, so there is no real overlap or confusion.

Naming Consistency4/5

Tool names largely follow a consistent verb_noun pattern (create_, get_, list_, update_). The only outlier is raisely_request, which is a generic escape hatch but breaks the pattern slightly.

Tool Count3/5

With 23 tools, the server is on the heavy side. While each tool maps to a distinct API endpoint, several convenience wrappers (list_campaign_donations, list_user_donations) add redundancy without significantly expanding functionality.

Completeness2/5

The tool surface is heavily read-oriented. Many core resources like campaigns, subscriptions, posts, and orders lack create/update/delete operations, and the read-only raisely_request cannot fill these gaps, leaving agents unable to perform common management tasks.