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Send Pressmark feedback

submit_feedback
Idempotent

Send a bug report, feature request, or general feedback to the private Pressmark inbox when the user asks. Include only details they choose to share; omit documents, passwords, and tokens.

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "kind": "bug",
      "summary": "Preview rendering error on custom font",
      "request_id": "a0000000-0000-0000-0000-000000000001",
      "description": "When exporting with custom font tokens, preview returns fallback styling."
    },
    "name": "submit_feedback"
  }
}

Input Schema

NameRequiredDescriptionDefault
kindYes
stepsNo
actualNo
summaryYes
versionNo
expectedNo
request_idYesA new UUID for this report. Reuse it when retrying unchanged feedback.
descriptionYes
reply_emailNoOptional email supplied by the user for feedback follow-up.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "description": "When exporting with custom font tokens, preview returns fallback styling.",
      +    "kind": "bug",
      +    "request_id": "a0000000-0000-0000-0000-000000000001",
      +    "summary": "Preview rendering error on custom font"
      +  }
      +]
  2. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly=false, openWorld=true, idempotent=true, destructive=false, so the safety profile is covered. The description adds genuinely useful privacy guardrails (omit documents, passwords, tokens) that annotations cannot express. It does not mention the idempotent retry behavior beyond what the schema says, so this is added value but not rich behavioral context.

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 tight sentences with zero filler: action plus trigger first, privacy constraint second. Every clause earns its place.

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?

For a 9-parameter, write-side tool with no output schema and thin schema coverage, the description covers purpose, trigger and privacy but leaves the majority of parameters undocumented. An agent could still call it using the example, but it would be guessing what steps/expected/actual/version are for.

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

Parameters2/5

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

Schema description coverage is only 22%: only request_id and reply_email are documented, leaving summary, description, steps, actual, expected, and version unexplained. The description only echoes the kind enum values and gives guidance that arguably contradicts normal reporting practice by implying minimal detail, but it adds no meaning about what steps/actual/expected/version should contain.

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 verb (send) and resource (bug report / feature request / general feedback to the Pressmark inbox), and the three categories line up with the kind enum. It does not explicitly differentiate from get_feedback_status, but no other sibling plausibly competes for this action.

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?

"when the user asks" gives a clear trigger condition, and the second sentence sets a boundaries rule (only share what the user chose). It lacks any exclusion (e.g., don't use for status checks – use get_feedback_status) or retry guidance, so it falls short of a 5.

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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