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sandraschi

Windows Operations MCP

by sandraschi

winops_json_validate

Read-onlyIdempotent

Validate a JSON string and return its validity status, success indicator, and error message if invalid.

Instructions

Validate whether a string is valid JSON.

Return Format

{"success": true, "valid": bool, "error": str | null}

Examples

validate(text='{"key": "value"}')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesJSON string to validate.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds a return format and an example, which provides some behavioral context, but it does not disclose additional traits beyond what annotations and the output schema already convey.

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 compact and well-structured, with a one-sentence purpose, a return format block, and a clear example. Every element earns its place with no unnecessary 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 simple one-parameter validation tool with annotations and an output schema, the description is largely complete. It includes the return format and an example. The only minor gap is not specifying JSON strictness (e.g., whether trailing commas or comments are accepted), but this is not critical for basic validation.

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 100% and the single parameter 'text' is already described as 'JSON string to validate.' The description's example reinforces the parameter usage but does not add meaningful semantics beyond the schema.

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 uses a specific verb and resource: 'Validate whether a string is valid JSON.' This clearly distinguishes the tool from sibling JSON tools like winops_json_read, winops_json_write, and winops_json_format, which perform different operations.

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 description implies usage by stating the tool's purpose, but it does not explicitly state when to use this tool versus alternatives or mention any exclusions. No guidance is given for choosing between this and related JSON tools, though the purpose is self-evident.

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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