project_run_checks
Run declared typecheck, test and build scripts through the hardened Windows-safe runner.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| packet_id | Yes |
Run declared typecheck, test and build scripts through the hardened Windows-safe runner.
| Name | Required | Description | Default |
|---|---|---|---|
| packet_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full behavioral disclosure burden. It does reveal that the tool runs scripts via a hardened Windows-safe runner, but it does not explain what happens during execution, whether build artifacts are modified, what failures look like, or what the caller receives as output.
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?
The description is a single concise sentence that fronts the core action and then adds a relevant qualifier. Every word contributes meaning and there is no repetition of the tool name or title.
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?
The description gives a general sense of the tool's purpose but is incomplete for invocation: the required packet_id parameter is undefined, there is no output schema, and no annotations provide safety or behavior context. An agent would not know what packet_id refers to or what a successful run returns.
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?
The only parameter, packet_id, has no schema description and the tool description does not explain its meaning or format. With 0% schema description coverage and no parameter context in the description, an agent cannot determine what value to supply.
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 clearly states a specific action ('Run declared typecheck, test and build scripts') and identifies the execution mechanism ('hardened Windows-safe runner'). This is distinct from sibling project_* tools like project_read_file or project_submit, which have different purposes.
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?
The description implies when to use the tool: when typecheck, test, or build scripts need to be run for a project. However, it does not explicitly state when not to use it, nor does it name alternative tools for related actions such as installing dependencies or deploying.
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.
There are multiple clusters of near-duplicate tools: earn, earn_now, earn_loop, find_money_opportunities, search_global_earn, and several rank_real_profit_opportunities variants. Even with descriptions, an agent would struggle to choose reliably among dozens of overlapping search, earn, and ranking entry points.
Most tools follow a snake_case verb_noun pattern, which provides some consistency. However, the set mixes prefixes like agentlot_, standalone verbs like earn and me, and many semantically interchangeable verbs such as find, search, discover, rank, route, and list applied to similar objects.
With 124 tools, this is an extreme mismatch for a coherent server surface. Even for a broad marketplace, this many entry points creates severe navigation overhead and includes multiple generations of similar tools instead of a disciplined, minimal API.
The tool set broadly covers marketplace lifecycles: listings, requests, orders, delivery, disputes, payouts, projects, and assets. However, there are notable gaps such as updating/unpublishing listings, canceling/refunding orders, and other core lifecycle management operations that would be expected in a complete marketplace surface.