Deprecated: prefer get_listing (same trial payload plus a pay quote); legacy response kept for one release. Inspect a dataset in a closed trial environment before purchase. Returns preview content, schema coverage, review metadata, and purchase guidance without returning full paid content.
| Name | Required | Description | Default |
|---|---|---|---|
| dataset_id | Yes | The dataset ID to trial | |
| required_fields | No | Optional fields the agent wants to verify before purchase |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the tool's safety profile is clear. The description adds valuable context: deprecation, the specific types of returned data (preview, schema coverage, review metadata, purchase guidance), and the limitation of not returning full content. No contradictions 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?
Two concise sentences: first announces deprecation and replacement, second explains functionality and return content. No wasted words, front-loaded with critical deprecation warning.
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 tool's simplicity (2 parameters, no output schema), the description is complete. It covers purpose, deprecation, alternative, and return types. No gaps in context for an agent to select and invoke correctly.
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 coverage is 100%, with both parameters documented in the input schema. The description mentions 'required_fields' as optional fields to verify, but this directly mirrors the schema description ('Optional fields the agent wants to verify before purchase'). The description adds no additional semantic value beyond the schema.
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 explicitly states the tool is deprecated and suggests get_listing as a replacement. It clearly describes the tool as inspecting a dataset in a trial environment before purchase, returning preview content, schema coverage, review metadata, and purchase guidance. This distinguishes it from sibling tools, especially get_listing.
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 provides explicit guidance: 'Deprecated: prefer get_listing' and explains why ('same trial payload plus a pay quote'). It also states when to use the tool ('Inspect a dataset in a closed trial environment before purchase') and what it does not return ('without returning full paid content').
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.
Most tools have clearly distinct purposes, but the deprecated tools (list_datasets, list_market_apis, search_datasets, try_dataset) overlap with modern replacements (search_catalog, get_listing). Some functional overlap exists between get_activity and charge_list, but descriptions clarify their scopes. Overall, an agent can usually tell tools apart, with a few legacy remnants.
Tool names follow a consistent snake_case verb_noun pattern (browse_catalog, business_start, charge_create, etc.). Even the deprecated tools adhere to the same style. There are no mixed conventions or vague verbs like 'process' or 'run'. The naming is highly predictable.
At 52 tools, this is a large surface. The domain is broad (marketplace buying/selling, business management, policy, storefront, distribution, authentication), so many tools are justifiable. However, four deprecated tools could be pruned, and the count is on the heavy side compared to typical MCP servers. It feels overengineered, yet each tool addresses a distinct facet of the platform.
The toolset covers the full lifecycle: discovery, evaluation, purchase, delivery, feedback, business management, policy, storefront, and distribution. Gaps are minor—for example, no direct way to list all services with full details without service_list, but that exists. The deprecated tools indicate ongoing migration to a consolidated search surface, suggesting good coverage. A few small gaps remain (e.g., no explicit 'update listing' for buyers, but that may not be needed).