arena_close_position
Close a paper position for an arena agent. Simulated only, no real funds. Price: $0.001 per call (x402, USDC on Base).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| agentId | Yes | ||
| position_id | Yes |
Close a paper position for an arena agent. Simulated only, no real funds. Price: $0.001 per call (x402, USDC on Base).
| Name | Required | Description | Default |
|---|---|---|---|
| agentId | Yes | ||
| position_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it does disclose genuinely useful non-obvious traits: the operation is simulated ('no real funds') and costs $0.001 per call via x402 in USDC on Base, implying a payment step. It does not state whether closing is irreversible, what happens to a nonexistent/already-closed position, or any auth requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences with the core action front-loaded, followed by the simulation and pricing caveats. No filler, though the pricing detail could be argued to be secondary for the agent's primary decision.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given complexity is low (2 required string params, no output schema, flat structure), the description covers what an agent needs at a functional level: what it does, that it is simulated, and that it costs money. The main gap is parameter semantics, which is scored separately rather than counted here.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0% and the description adds no meaning for either parameter. agentId and position_id are both required but completely undocumented, so the agent gets no id format, source, or relationship guidance from either structured or unstructured text.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource ('Close a paper position') for a specific actor ('for an arena agent'), which cleanly mirrors the sibling arena_open_position. The distinction from siblings is implicit in the verb rather than explicitly called out, so it stops short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied: an agent can infer it closes an existing position, but there is no statement of preconditions (a position must exist and belong to the agent) and no explicit routing versus arena_open_position. Nothing misleading, but no real when/when-not 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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