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Veqen: AI cost monitoring and protection

Name people by email

set_privacy

Whether Claude Code's telemetry names people by their email (true) or by account id, matched by hand (false).

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": {
      "email_identity": "<email_identity>"
    },
    "name": "set_privacy"
  }
}

Input Schema

NameRequiredDescriptionDefault
email_identityYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already disclose that this is a non-read-only, non-idempotent, non-destructive mutation. The description adds the meaning of the boolean values but does not describe permissions required, scope of impact, reversibility, or what 'matched by hand' implies operationally. For a privacy-related setting, that is a meaningful gap beyond the safety profile already covered by annotations.

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?

The description is a single efficient sentence with no wasted text. It front-loads the setting semantics, though it could be clearer by starting with the action rather than 'Whether'.

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?

The tool is simple (one boolean parameter), an output schema exists, and annotations cover safety characteristics, so the description does not need to explain return values. However, it omits that this is a state-changing operation and does not clarify scope or permissions, leaving a modest completeness gap for a privacy-setting mutation.

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 0%, so the description must carry parameter meaning, and it does: 'true' means telemetry names people by email, and 'false' means naming by account id. That maps directly to the single required boolean parameter and adds substantial value over the schema's bare type declaration.

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

Purpose3/5

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

The description explains what the boolean setting controls (email vs. account id naming), but it never uses an action verb and does not state that this tool sets or changes a privacy configuration. The tool name 'set_privacy' implies mutation, yet the description reads more like a definition of the setting than a clear statement of the tool's operation.

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 guidance on when to use this tool, when not to use it, or which sibling tools might be alternatives. The agent is left to infer that this is the right tool for changing telemetry identity settings from the name alone.

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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