jolt-transform-web
Server Details
An MCP server that provides bazaarvoic JOLT transformation capabilities.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- halversondm/jolt-transform-web
- GitHub Stars
- 0
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Tool Definition Quality
Average 2.8/5 across 1 of 1 tools scored.
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clearly defined purpose that cannot be confused with any other tool in the set.
The single tool name 'transform' follows a simple verb pattern, and with only one tool, there is no inconsistency to evaluate. The naming is straightforward and appropriate for its function.
A single tool is generally too few for most server purposes, as it limits functionality and may not cover the domain adequately. For a data transformation server, one tool feels thin and could indicate incomplete coverage of potential operations like validation or schema management.
The server's purpose appears to be data transformation using JOLT, but with only one tool, there are significant gaps. Missing operations might include validating JOLT specs, listing available transforms, or handling different input/output formats, which could lead to agent failures in complex workflows.
Available Tools
1 tooltransformtransformCDestructiveInspect
Transforms input data using a JOLT specification.
| Name | Required | Description | Default |
|---|---|---|---|
| dto | Yes |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true and readOnlyHint=false, suggesting a mutation operation, which aligns with 'Transforms.' The description adds that it uses a 'JOLT specification,' providing some behavioral context beyond annotations. However, it lacks details on effects, error handling, or rate limits, offering only basic supplemental information.
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, efficient sentence with no wasted words. It is front-loaded and appropriately sized for the tool's complexity, making it easy to parse quickly. Every element contributes directly to the tool's purpose.
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 has one parameter with nested objects, 0% schema coverage, no output schema, and annotations that only partially cover behavior, the description is insufficient. It does not explain parameter usage, output format, or detailed transformation behavior, leaving significant gaps for an agent to understand and invoke the tool 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 description coverage is 0%, so the description must compensate for undocumented parameters. It mentions 'JOLT specification' but does not explain the 'dto' parameter or its sub-properties ('spec', 'input', 'output'). This fails to add meaningful semantics beyond the bare schema, leaving parameters largely unexplained.
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 the tool 'Transforms input data using a JOLT specification,' which provides a clear verb ('Transforms') and resource ('input data'). However, it lacks specificity about what JOLT is or what kind of transformation occurs, making it somewhat vague. Without sibling tools, differentiation is not applicable, but the purpose remains moderately clear.
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 offers no guidance on when to use this tool, such as scenarios for data transformation or prerequisites. It does not mention alternatives or exclusions, leaving usage entirely implied. This lack of context makes it difficult for an agent to determine appropriate application.
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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