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SPACEXPLORATION

Send feedback

send_feedback

File feedback or a support ticket with the SPACEXPLORATION team: a bug report, feature request, or question about the app or this MCP server. Works anonymously — include a contact email if you want a reply.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoOptional contact email if you or your human want a reply. Authenticated callers default to their account email.
messageYesThe feedback itself — what happened, or what should change about the app or the MCP server. Plain text, max 5000 characters.
categoryNoWhat kind of feedback this is. Defaults to "other".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / message / description
      Previous value: -"The feedback itself — what happened, or what you would improve about the app or the MCP experience. Plain text, max 5000 characters."New value: +"The feedback itself — what happened, or what should change about the app or the MCP server. Plain text, max 5000 characters."
  2. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnlyHint=false, openWorldHint=true, destructiveHint=false), and the description adds genuinely new context: submission works anonymously and a reply only occurs if an email is supplied. It stops short of saying where the ticket goes or what acknowledgement the caller receives, but the anonymity/reply semantics are the important disclosure for this operation.

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, front-loaded with the action and recipient, followed by the anonymity/reply condition. Nothing is padded and no sentence is redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a three-parameter, fire-and-forget submission tool with no output schema, the description covers purpose, accepted categories, and contact/reply behavior — everything an agent needs to call it correctly. No return-value explanation is required.

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?

Schema description coverage is 100%, so the schema already documents email, message (plain text, 5000-char cap) and the category enum with its default. The description only restates the email-for-reply behavior, adding no syntax or format detail beyond the schema. Baseline 3 applies.

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?

Names a specific verb (file) and resource (feedback/support ticket) plus the recipient team, and enumerates the accepted kinds (bug, feature request, question). This clearly separates it from every listing-management sibling in the set.

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?

States the contexts in which to use it (bugs, feature requests, questions about the app or this MCP server) and the condition for supplying a contact email. It gives no explicit 'do not use for X' exclusion, but the tool is standalone and the accepted categories effectively bound its use.

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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