list_marketplace_offers
List active token trading offers on the marketplace
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max results (1-100) | |
| status | No | Filter: active/completed/cancelled |
List active token trading offers on the marketplace
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max results (1-100) | |
| status | No | Filter: active/completed/cancelled |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden for behavioral disclosure. It states that only 'active' offers are listed, adding some context, but does not mention pagination, ordering, or that the status parameter can override the active filter.
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, front-loaded sentence that states the action and resource with no unnecessary words.
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 simple listing tool with two optional parameters and no output schema, the description covers the core purpose. However, the absence of usage guidance and behavioral details (like pagination) keeps it from a perfect score.
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% — both limit and status have descriptive text. The description adds no additional parameter information, so the baseline of 3 is appropriate.
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 ('List') and identifies the resource ('active token trading offers on the marketplace'), distinguishing it from related sibling tools like cancel_stale_offers or create_personalized_offer.
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 purpose implies the tool should be used to list active offers, but there is no explicit guidance on when to use it versus alternatives, nor any exclusions or recommendations.
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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