Jsonfmt
jsonfmtJSON Format: Validate, pretty-print & stat JSON (offline)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
jsonfmtJSON Format: Validate, pretty-print & stat JSON (offline)
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 of behavioral disclosure. It mentions 'offline', which is a useful trait indicating no network calls. However, it does not disclose whether the operation is read-only, has side effects, or any other behavioral details. The offline note adds some value but is insufficient for full transparency.
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, concise sentence that front-loads the core purpose. It is appropriately sized for a simple tool, but it omits critical details about the parameter and usage. The brevity is commendable, but it sacrifices necessary information.
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 (one parameter, no annotations), the description should still explain the parameter and provide usage context. The output schema exists, so return value documentation is not required, but the missing parameter semantics and lack of usage guidance leave the description incomplete for an agent to use 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?
The input schema has a single parameter 'q' with a default, but the description does not explain its meaning or format. Since schema description coverage is 0%, the description fails to compensate for the undocumented parameter. The agent is left to guess what 'q' represents (likely the JSON input), but this is not explicitly stated.
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's function: validate, pretty-print, and stat JSON. It uses specific verbs and names the resource (JSON), making the purpose unambiguous. It does not explicitly differentiate from sibling tools, but given the lack of similar JSON-specific tools in the sibling list, this is a minor gap.
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 no guidance on when to use this tool versus alternatives or any exclusions. It simply describes what it does, leaving the agent to infer usage. There is no mention of scenarios where this tool would be inappropriate or a better alternative.
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.