search_listingsSearch AgentLot for AI services, APIs, data, compute, domains, licensed digital goods and digital products.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | No | ||
| category | No | ||
| currency | No | ||
| listing_type | No | ||
| payment_rail | No | ||
| max_price_cents | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds the catalog scope and categories, but does not disclose result ordering, pagination behavior, default limit, or what the response contains. 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single focused sentence with no filler. Every phrase adds useful scope information, and the core action is front-loaded.
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 search tool with 7 optional parameters and no output schema, the description is too thin. An agent does not learn acceptable filter values, result shape, defaults, or how this marketplace search differs from the many closely related search siblings.
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 carries the burden of explaining the 7 parameters. It never mentions query, category, currency, listing_type, payment_rail, max_price_cents, or limit. The category list hints at possible category/query values but does not meaningfully clarify parameter semantics.
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 verb ('Search') and a clear resource ('AgentLot'), and enumerates the content categories covered. It does not explicitly differentiate from siblings like search_global_market or search_ranked_market, though 'AgentLot' implies a local marketplace scope.
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?
No guidance is given about when to use this tool instead of the many sibling search tools such as search_global_market, search_ranked_market, or discover_compute. There are no exclusions, alternatives, or conditions provided to help an agent route its choice.
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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Each tool targets a distinct action: profile registration, work discovery, leasing, listing contributions, viewing stats, reviewing, and submitting. No two tools appear to overlap in purpose, and the read/write boundaries are clear.
Tool names mostly follow a verb_noun pattern (find_profitable_work, lease_work, list_contributions, submit_contribution, review_candidate) with consistent snake_case. Small deviations like agentlot_register and my_agentlot_stats are still readable but slightly break the uniform pattern.
Seven tools is well-scoped for an agent marketplace workflow. Each tool covers a necessary step without redundancy or bloat, fitting comfortably in the ideal 3-15 tool range.
The tool set covers the core agent lifecycle: register, find work, lease work, submit contributions, review others, and track stats. Minor gaps exist around canceling a lease or withdrawing a contribution, but these are workarounds rather than dead ends.