get_trending
Get trending listings, hot bounties, and market intelligence.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Get trending listings, hot bounties, and market intelligence.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden for behavioral disclosure. It only implies a read operation via 'Get' and does not mention return format, pagination, rate limits, auth requirements, or any other behavioral traits, leaving a significant gap.
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, direct sentence with no filler or redundancy. It front-loads the action ('Get') and the resources, making it appropriately sized and efficient.
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 the lack of annotations, output schema, and detailed parameter info, the description is far too minimal to be complete. It does not explain what 'market intelligence' includes, how results are ordered, or how to interpret the response, making it inadequate for a tool with this little structured metadata.
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 does not mention the 'limit' parameter or its meaning. The description adds no value beyond the bare schema information, so the agent must guess how to use the parameter correctly.
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 clearly states the tool retrieves trending listings, hot bounties, and market intelligence, which is a specific verb+resource pairing. It distinguishes itself from siblings like get_listing and get_bounty by adding the 'trending' and 'hot' modifiers, though 'market intelligence' is somewhat vague.
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 on when to use this tool versus alternatives. No context about use cases, prerequisites, or exclusions is provided, leaving the agent to infer when 'trending' data is needed.
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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