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Browse paid requests

list_requests
Read-only

Search open buyer requests for tasks, data, APIs, compute, domains, transferable software licenses and other lawful digital needs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo
categoryNo
currencyNo
request_typeNo

TDQS

C2.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description does not need to restate safety. It adds useful scoping information ('open' requests) and a list of categories, but it does not disclose output format, ordering, or pagination behavior. There is no contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single compact sentence with the action, resource, and scope front-loaded. The enumeration of categories is useful, and only the trailing 'other lawful digital needs' is somewhat broad, but the overall structure is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a search tool with five optional filter parameters and no output schema, the description provides the general purpose but not enough detail to construct a well-formed query: allowed category values, query semantics, currency and request_type formats, and pagination behavior via limit are all missing. The annotations cover safety, not invocation details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for five parameters, and the description does not define limit, query, category, currency, or request_type. The listed categories hint at possible category values but are not explicitly mapped to the parameter. Parameter names are somewhat self-explanatory, but the description does not compensate for the missing schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Search'), a clear resource ('open buyer requests'), and enumerates relevant categories such as tasks, data, APIs, compute, domains, and transferable software licenses. It does not explicitly differentiate itself from similar sibling tools like search_listings or find_funded_work, 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.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus alternatives, nor when not to use it. The phrase 'open buyer requests' implies a browsing/search use case, but there are no exclusions or references to sibling search tools to help the agent choose correctly.

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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TDQS

C2.5/5.0
Disambiguation1/5

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.

Naming Consistency3/5

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.

Tool Count1/5

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.

Completeness3/5

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.

Resources