code_sandbox
Secure Python code execution sandbox ($0.15 USDC via MPP on Base).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | Python code to execute |
Secure Python code execution sandbox ($0.15 USDC via MPP on Base).
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | Python code to execute |
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 two genuine behavioral facts: execution is sandboxed/isolated ('Secure') and each call costs $0.15 USDC on Base via MPP. That payment model is real value the schema cannot express. However, it omits execution limits (timeout, memory, network access), whether the sandbox is ephemeral, and what happens on failure — significant gaps for a code-execution tool.
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?
A single tight sentence with the resource front-loaded and cost information parenthetically appended. Every clause earns its place, though it is arguably sparse for a tool with real runtime semantics.
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?
For a one-parameter tool, the description is minimally adequate: it says what runs, where, and at what cost. Without annotations or an output schema, it should at least sketch what the call returns (stdout/stderr/exit status) and any timeout or isolation constraints; those are missing.
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?
One parameter with 100% schema description coverage ('Python code to execute'), so the schema already does the work. The description adds nothing about the code argument (e.g. permitted imports, whether output is captured). Baseline 3 applies per the coverage rule.
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?
The description names a specific verb and resource: executing Python code inside a sandbox. It is unambiguous and no sibling tool in the list competes with it (none are code-execution utilities). It stops short of a 5 only because it doesn't state the scope of what 'execution' means (single script, isolated runtime, no file persistence).
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?
There is no when-to-use guidance, no prerequisites, and no exclusions. The pricing hint ('$0.15 USDC via MPP on Base') implicitly signals this is a paid call to be used deliberately, but the agent is left to infer that. Nothing tells the agent when another sibling (e.g. regex_oracle, json_repair) would be the better choice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.