json_tools
Flatten JSON to dot paths or convert rows to CSV ($0.001 USDC on Base, x402)
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes | JSON string | |
| mode | No | flatten | csv (default flatten) |
sigtap Agent Tools
Schema Changelog
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
- First observed
TDQS
A3.6/5.0
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does surface the pricing/cost detail ($0.001 USDC on Base, x402) and the two transformation modes, but it does not mention what happens on invalid JSON, output format details, or any other behavioral characteristics.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single focused sentence that leads with the core functionality and appends cost information in parentheses. There is no redundant wording or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-parameter utility with no output schema, the description provides enough context: the transformations, the default mode (from schema), and cost. It is slightly thin on handling edge cases like nested arrays or malformed JSON, but the core usage is clear.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already defines both parameters. The description adds meaning by naming the output forms ('dot paths', 'rows to CSV'), but it does not substantially elaborate beyond the schema's field descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's two functions: flatten JSON to dot paths and convert rows to CSV. The verb and resource are specific, and the tool is easily distinguished from all siblings, which are unrelated utilities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives, or when to choose flatten mode versus CSV mode. The description simply lists capabilities without any context or exclusions.
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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TDQS
A3.5/5.0
Disambiguation5/5
Each tool has a clear, non-overlapping purpose: catalog lists the paid tools, and the others cover distinct utilities like crypto pricing, email deliverability, hashing, JWT decoding, regex, slugify, UUID generation, and weather. Even the three email-related tools are clearly separated by description: deliverability audit, score, and template.
Naming Consistency3/5
Most tools follow a lowercase snake_case noun_noun pattern (crypto_price, domain_age, email_grade), but catalog and weather are bare nouns, slugify is verb-based, and jwt_decode is object+verb. The pattern is readable despite the inconsistency, but not uniform.
Tool Count4/5
Thirteen tools is within the reasonable range for a paid micro-tool marketplace, and each tool has its own niche. The presence of a meta-catalog tool plus 12 discrete utilities makes the count feel slightly like a grab-bag, but still well-scoped for the stated purpose.
Completeness4/5
The advertised surface is a catalog of exactly 12 paid tools, and all 12 utilities are present and functional with free preview routes mentioned. There is no obvious missing operation for a stateless utility collection, though the heterogeneous nature of the tools makes completeness less meaningful than for a focused domain server.