project_safe_install
Install locked dependencies with lifecycle scripts disabled. No task text is executed.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| packet_id | Yes |
Install locked dependencies with lifecycle scripts disabled. No task text is executed.
| Name | Required | Description | Default |
|---|---|---|---|
| packet_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the transparency burden and does disclose the most important safety behavior: lifecycle scripts are disabled and no task text is executed. It stops short of describing other side effects such as file modifications, network access, or what happens on failure, but the key safety behavior is explicit.
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 no filler; the core operation is front-loaded and the safety qualifier is a valuable second sentence. Every word earns its place.
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 tool is simple (one parameter, no output schema) and the description covers the core operation and safety posture. It is incomplete primarily because `packet_id` is unexplained and there is no indication of the result or possible side effects, leaving an agent with a reasonable but not fully specified mental model.
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 description coverage is 0%, so the description must explain the single parameter, but it never defines what `packet_id` refers to or what format/identity is expected. An agent can guess it identifies the packet to install, but the meaning is not made explicit.
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 states a specific action ('Install locked dependencies') with a precise mode ('lifecycle scripts disabled') and an explicit safety qualifier ('No task text is executed'). It clearly identifies what resource the tool acts on, so an agent can distinguish it from generic install or run operations.
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 usage is implied: use this when locked dependencies should be installed without running lifecycle scripts or task text. However, there is no explicit when-not-to-use guidance or named alternative, so the agent must infer the selection context from sibling tool names and the safety qualifier.
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.