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PRIVAKU

Get one PRIVAKU product

get_product
Read-onlyIdempotent

Full facts for one PRIVAKU product: summary, features, status, price, platforms, notes and official links. Accepts a slug from list_products or a common name (e.g. 'photos', 'talk', 'agent-shield', 'brain').

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": {
      "slug": "<slug>"
    },
    "name": "get_product"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesProduct slug or name, e.g. photos, talk, shield, eye, brain-sdk, infinite, ondevice-sdk, action-ai

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuine value by enumerating what comes back (features, price, platforms, notes, official links) and by disclosing that a loose common name is accepted, not just an exact slug. It does not say what happens on an unknown or ambiguous name, which keeps it below a 5.

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?

Two sentences, zero filler. The returned-field inventory comes first and the input contract second, which is the right order for an agent deciding whether to call it.

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 one-parameter read tool with no output schema, the field enumeration plus the flexible-input note is close to complete. The remaining gap is failure behavior for an unresolved or ambiguous name, which matters given free-text name acceptance.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, and the description earns extra credit by clarifying the parameter is tolerant of common names beyond the slug format the schema implies, with examples ('photos', 'talk', 'agent-shield', 'brain') that broaden the schema's own example set. It is slightly loose about whether name matching is exact or fuzzy.

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?

States a specific resource and scope: 'Full facts for one PRIVAKU product', then enumerates the fields returned (summary, features, status, price, platforms, notes, links). The word 'one' plus the reference to list_products as the slug source implies the single-item vs. list distinction, though that contrast is never stated outright.

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

Usage Guidelines4/5

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

Tells the agent where the input comes from ('a slug from list_products or a common name') and gives concrete name examples, which is real invocation guidance. It stops short of explicit when-not-to-use guidance, such as preferring another tool when the exact product is unknown or when only download links are wanted.

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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