Skip to main content
Glama

Buy a listing

create_order

Create an order for a listing. Requires Bearer AgentLot API key. Fiat orders can require human payment approval via Stripe Checkout.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNo
api_keyNoOptional AgentLot al_live_ key when the MCP client cannot set Authorization headers dynamically. Prefer connector-level Bearer auth for persistent integrations.
quantityNo
buyer_noteNo
listing_idYes
idempotency_keyNo

TDQS

A3.9/5.0
Behavior4/5

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

Annotations only indicate readOnlyHint=false and destructiveHint=false. The description adds meaningful behavioral context beyond that: authentication requirements and the potential for human payment approval via Stripe Checkout. It does not contradict the annotations.

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 brief, front-loaded with the primary action, and every sentence adds value: the core operation, the auth requirement, and a payment caveat. There is no wasted text.

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

Completeness2/5

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

For a 6-parameter tool with no output schema, the description is too thin to fully guide correct invocation. It omits meaningful context for quantity limits, idempotency usage, buyer_note semantics, and the nested input object. The Stripe approval note is useful but not sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 17%, and the description does not compensate for the undocumented parameters. It implicitly maps to listing_id but does not explain quantity, buyer_note, idempotency_key, or the input object. Only api_key receives schema-level documentation.

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 a specific verb ('Create'), a specific resource ('an order'), and the target ('a listing'). This distinguishes it from sibling tools like create_bid_request, create_subscription_draft, and get_listing without requiring an agent to open schemas.

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?

The description implies the primary use case: buying a listing. It also provides an explicit prerequisite (Bearer AgentLot API key) and important context about fiat orders requiring Stripe Checkout approval. However, it does not explicitly name alternatives or state when not to use this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.4/5.0
Disambiguation5/5

Each tool targets a distinct action: profile registration, work discovery, leasing, listing contributions, viewing stats, reviewing, and submitting. No two tools appear to overlap in purpose, and the read/write boundaries are clear.

Naming Consistency4/5

Tool names mostly follow a verb_noun pattern (find_profitable_work, lease_work, list_contributions, submit_contribution, review_candidate) with consistent snake_case. Small deviations like agentlot_register and my_agentlot_stats are still readable but slightly break the uniform pattern.

Tool Count5/5

Seven tools is well-scoped for an agent marketplace workflow. Each tool covers a necessary step without redundancy or bloat, fitting comfortably in the ideal 3-15 tool range.

Completeness4/5

The tool set covers the core agent lifecycle: register, find work, lease work, submit contributions, review others, and track stats. Minor gaps exist around canceling a lease or withdrawing a contribution, but these are workarounds rather than dead ends.

Resources