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MCP tool schema check

privi_tool_schema_check
Read-only

Validate basic MCP tool name, description and JSON inputSchema shape.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "tool": "<tool>"
    },
    "name": "privi_tool_schema_check"
  }
}

Input Schema

NameRequiredDescriptionDefault
toolYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. Beyond that, the word "basic" hints at limited validation depth but never says which rules are enforced, what constitutes failure, or whether the check is advisory or blocking — real gaps for a validator whose whole value is its rule set.

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

Conciseness4/5

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

One sentence, front-loaded with the verb and no filler. It is efficient rather than padded, though the brevity borders on under-specification given the nested parameter.

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

Completeness2/5

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

With a nested object parameter, no output schema, and no documented validation rules, the definition leaves the agent unable to predict the response shape (pass/fail, error list, severity) or how to structure the tool object correctly. For a validator, the criteria and result format are the essential content and both are missing.

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 0% for a single nested object parameter, so the description must compensate. It partially does by naming the three fields the tool object should contain (name, description, inputSchema), which is meaning the bare `{"type":"object"}` schema does not convey, but it never states required vs optional fields, accepted value types, or format constraints.

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 states a specific verb ("Validate") and a concrete resource ("basic MCP tool name, description and JSON inputSchema shape"), so an agent knows exactly what operation is performed. It stops short of distinguishing itself from near-neighbors like privi_scope_check or privi_pro_json_schema_minimal, leaving the boundary implicit.

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?

There is no statement of when to use this tool versus alternatives, no prerequisites, and no exclusions. An agent must infer from the name alone that this is a pre-flight check for a tool definition rather than a general JSON Schema validator.

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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