Skip to main content
Glama

cancel_lot

Cancel an open lot by providing a return shipment chain; unsold units are returned to you. Draft lots cannot be cancelled manually.

Instructions

Withdraw an OPEN lot; unsold units return to you. Requires a session. Pass chain = [hub, ...waypoints, your destination cell] (the return shipment). A return through a foreign Hub costs $CPU — auto-approved and paid on-chain — otherwise it is free. Track with list_my_lots / get_lot. A DRAFT lot (one still en route to its Hub, never opened) cannot be cancelled manually — it auto-reverts once its signature lapses; just wait for it to clear.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lotIdYesThe lot id to cancel (must be yours).
chainNo[hub, ...waypoints, destination] for the return shipment — REQUIRED to cancel an OPEN lot. DRAFT lots cannot be cancelled manually (they auto-revert once their signature lapses).
Behavior5/5

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

With no annotations, the description fully discloses behavioral traits: cost implications for foreign Hub, auto-revert for DRAFT lots, and the need for a session. No contradictions.

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, front-loaded with purpose, then parameter guidance, then edge case. No redundant information, every sentence adds value.

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

Completeness5/5

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

Given the tool's complexity (hex coordinates, hub/waypoints, cost, state-dependent behavior), the description covers all necessary aspects: prerequisites, parameter requirements, cost implications, edge cases, and post-cancellation tracking.

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?

Schema coverage is 100%, so baseline is 3. The description adds significant context beyond schema: cost detail ('costs CPU', 'auto-approved and paid on-chain'), the required vs auto-revert behavior, and ownership requirement for lotId.

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 action ('Withdraw an OPEN lot') and the effect ('unsold units return to you'), distinguishing it from sibling tools like create_lot or buy_lot.

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

Usage Guidelines5/5

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

Explicitly tells when to use (OPEN lots) and when not to (DRAFT lots auto-revert), provides tracking alternatives, and states prerequisites (requires a session) and parameter requirements.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sodiqit/cpu-game-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server