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sandraschi

Windows Operations MCP

json_operations

Read, write, validate, patch, format JSON files or extract JSON from text. Perform high-level data surgery on configurations and logs.

Instructions

Perform specialized JSON data operations with agentic telemetry.

RATIONALE: Agents often need to "patch" existing configs or extract JSON from unstructured logs. This portmanteau provides the specialized logic required for high-level data surgery.

Args: action: The JSON operation to perform. path: File path for read/write/patch operations. data: Data to write or merge (for "write"/"patch"). text: Raw text to extract JSON from (for "extract_from_text"). indent: Indentation for formatting. ctx: FastMCP Context for telemetry and sampling.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
pathNo
dataNo
textNo
indentNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It mentions actions like 'read', 'write', 'patch', implying file system mutations. However, it does not disclose if operations are destructive, require permissions, or what happens on errors. Moderate disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Includes rationale with colloquial language ('portmanteau'), but structure is clear. Could be more concise without losing key information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 5 parameters, no annotations, and fairly complex multi-action tool, description covers basic parameter meanings and rationale. Lacks details on return values despite output schema existing, but that is not required. Could mention security or error behavior.

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 coverage is 0%, so description must compensate. The docstring explains each parameter's purpose (e.g., 'action: The JSON operation to perform', 'path: File path for read/write/patch operations'). This adds meaning beyond the schema, but is brief. Baseline 3 due to low coverage, but description adds value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names specific operations (read, write, validate, patch, extract_from_text, format) and states it's for JSON data operations with agentic telemetry. However, the mention of 'agentic telemetry' and 'portmanteau' is confusing and does not clearly distinguish from siblings. No sibling directly overlaps, so purpose is clear but slightly muddled.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The RATIONALE explains why the tool exists (patching configs, extracting JSON from logs). It does not specify when to use this tool vs. siblings or when not to use it. The enum for action gives clear sub-purposes, but no guidance on choosing this over other tools.

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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