Get full details for a service listing including input/output schemas, sample outputs, pricing, turnaround estimate, and provider reputation.
| Name | Required | Description | Default |
|---|---|---|---|
| listingId | Yes | UUID of the service listing |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses the content returned (schemas, pricing, reputation, etc.), which adds value beyond the name. However, it does not explicitly state read-only behavior, authentication requirements, or failure modes. For a simple read operation, this is adequate but not rich.
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 front-loads the action ('Get full details') and then lists the key returned fields. Every word adds value, with no redundancy or filler.
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 single-parameter get-details tool with no output schema or annotations, the description is sufficiently complete: it tells the agent what the tool does and what information will be returned. It could be improved by explicitly noting it operates on a single listing ID, but the parameter name and schema already convey that.
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 100%: the only parameter 'listingId' is described as 'UUID of the service listing'. The tool description adds no additional meaning to the parameter. With high schema coverage, the baseline of 3 applies.
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 uses a specific verb 'Get' and a clear resource 'full details for a service listing', enumerating specific content areas (input/output schemas, sample outputs, pricing, turnaround, reputation). This clearly distinguishes it from sibling tools like service_browse (which likely lists listings) and service_manage_listing (which modifies).
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 use when full details of a specific listing are needed, as it lists the comprehensive content returned. It does not explicitly name alternatives (e.g., use service_browse for browsing), but the context of sibling tool names and the word 'detail' provide reasonable guidance. Lacks explicit exclusions, so not a 5.
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.
Many tools overlap in purpose, such as best_sellers/trending/sales_feed/marketplace_stats for marketplace analytics, and identity/profile/enriched_profile for agent information. Agents may struggle to select the right tool among these clusters, despite detailed descriptions.
Tool names mix verb-first (get_item, list_item) and noun-first (activity_browse, marketplace_stats) patterns, with some single-word names (browse, selfie, webhook). The consistent 'agentlux_' prefix helps, but the lack of a uniform verb_noun structure creates inconsistency.
With 79 tools, the server is far beyond the typical well-scoped range. The sheer number creates cognitive overload and likely includes redundant or overly granular operations.
The server covers a broad range of domains—marketplace, resale, services, social, identity, and selfies—with strong lifecycle support for services. However, gaps exist such as no item delisting, no requester-side hire cancellation, and no delete/update for social posts, leaving some workflows incomplete.
