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get_telemetry_preferences

Read-only

Retrieve per-category telemetry disclosure and opt-out state so you can see which data categories Kiln collects and which are disabled.

Instructions

Return the per-category telemetry disclosure + opt-out state.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_telemetry_preferences"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.5.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered structurally. The description adds only the shape of the payload (per-category, includes opt-out state), with no note on whether results are user-scoped, cached, or subject to consent gating.

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?

A single sentence with no filler, and the resource plus the two returned facets are front-loaded. Nothing is repeated from the annotations or schema.

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?

This is a trivial zero-argument read with no output schema, so the description carries the burden of describing what comes back; it names the categories and opt-out state but not the structure or whether opt-out is per-category or global. Adequate, but thinner than ideal given no output schema exists.

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?

The tool takes zero parameters, so the baseline is 4 and there is nothing for the description to disambiguate. No conflicting or missing parameter guidance exists.

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?

"Return the per-category telemetry disclosure + opt-out state" uses a specific verb (Return) and names the exact resource and the two fields of interest, so an agent knows this is a read of telemetry settings. It does not explicitly contrast with the sibling set_telemetry_preference, but the get/set distinction is inferable from the name.

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 call this versus alternatives such as set_telemetry_preference, nor any prerequisite (e.g. call this first to inspect state before writing). Usage must be inferred entirely from the verb.

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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