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Feedback

feedback

Send feedback about these tools to the Telemetry Machine team: something missing, wrong or confusing.

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": {
      "message": "<message>"
    },
    "name": "feedback"
  }
}

Input Schema

NameRequiredDescriptionDefault
messageYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false and openWorldHint=false, so the agent knows this is a non-destructive submission that stays within the service. The description adds the destination team, but says nothing about what happens after sending, whether feedback is attributed to the caller, or any rate limits — modest value beyond the annotations.

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?

One sentence, front-loaded with the verb and audience, with zero filler. Nothing could be removed without losing information.

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 single-parameter, no-output-schema tool this covers purpose, audience and message content adequately. The only missing piece an agent might want is what happens on submission (confirmation, attribution), which is minor at this complexity level.

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?

There is one parameter with 0% schema description coverage, so the description must carry the burden; it does partially by telling the agent what content belongs in `message` (missing, wrong or confusing things). It does not mention the 1–4000 character bounds or whether the message should be self-contained, leaving a real gap.

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?

States a specific verb (send feedback) plus the recipient (the Telemetry Machine team) and the content scope (something missing, wrong or confusing). No sibling tool competes with this function, so the purpose is unmistakable from the first clause.

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?

The phrase 'something missing, wrong or confusing' gives clear conditions for when to invoke it, which is more than a bare purpose statement. It stops short of explicit exclusions (e.g. not for support requests or bug reports against the user's own systems) and names no alternative channel.

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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