publish_demand
Publish structured demand.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| goal | Yes | ||
| mode | No | ||
| funded | No | ||
| currency | No | ||
| capability | Yes | ||
| budget_cents | No |
Publish structured demand.
| Name | Required | Description | Default |
|---|---|---|---|
| goal | Yes | ||
| mode | No | ||
| funded | No | ||
| currency | No | ||
| capability | Yes | ||
| budget_cents | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations indicate readOnlyHint=false and destructiveHint=false, so the description adds no behavioral context beyond what the annotations imply. It does not explain side effects, idempotency, whether the demand becomes publicly visible immediately, or what the agent should expect after the call.
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 very short, but this is under-specification rather than useful conciseness. It provides less information than the tool name already does and leaves all meaningful detail absent.
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 six parameters, no output schema, no per-parameter documentation, and a large sibling toolset, this description is far too sparse. It is inadequate for an agent to select the tool correctly, construct valid arguments, or interpret the result.
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% and the description provides no explanation of the six parameters, including required ones like capability and goal. With no enums, defaults, or format details in the schema and no compensation in the description, an agent cannot confidently fill these fields.
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 'Publish structured demand' essentially restates the tool name with the modifier 'structured' and does not define what a demand is or what publishing it entails. It also does not distinguish this tool from many related siblings such as post_request, create_buyer_goal, or offer_for_request.
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 guidance about when to use this tool versus alternatives like post_request, create_buyer_goal, or publish_listing. No conditions, prerequisites, or exclusion criteria are mentioned, so the agent must guess when this tool is appropriate.
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.