Skip to main content
Glama

Send feedback

send_feedback

Send feedback about this icon server to its maintainer: bugs, missing icons, feature requests, pain points, and whether it saved the user time. Good moments to offer it: after the user finishes an icon task, cannot find an icon, or hits a limit. Ask the user first and send only after they agree; show them the message before sending. Most useful content: what they were building, what worked, what was missing or slow, what to add next, and rough time saved. Do not include personal data, code, or secrets. One-way: no reply comes back. If the user wants a reply, the result includes a prepared email link to give them. Limit: 3 messages per day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesFeedback message, max 1000 characters

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / message / description
      Previous value: -"Feedback message, max 500 characters"New value: +"Feedback message, max 1000 characters"
    • changedInput schema / properties / message / maxLength
      Previous value: -500New value: +1000
  2. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing the one-way nature (no reply comes back), the fallback (a prepared email link in the result), the rate limit (3 messages per day), consent requirements, and a privacy prohibition on personal data, code, or secrets. The openWorldHint/destructiveHint flags are complemented rather than merely restated.

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?

Purpose is front-loaded in the first clause, followed by timing, consent, content guidance, privacy, delivery semantics, and limits. Every sentence carries a distinct actionable instruction, with no filler or repetition.

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 single-parameter, non-destructive tool with no output schema, the description covers everything needed: when to call, consent handling, what to put in the message, what to exclude, that no reply returns, and the daily cap. Nothing an agent needs to invoke this correctly is missing.

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 100% and the length bounds already live in the schema, so the baseline is 3. The description adds real semantic value by specifying what makes a good message (what they were building, what worked, what was missing or slow, what to add next, time saved) and what must not be included, which meaningfully constrains content beyond the raw string type.

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) plus resource (feedback about this icon server) and its recipient (the maintainer). It is unmistakably distinct from the sibling tools get_icon, list_collections, and search_icons, which are all read/lookup operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit trigger moments ('after the user finishes an icon task, cannot find an icon, or hits a limit') and an explicit precondition ('ask the user first and send only after they agree; show them the message before sending'). No inference is required about when to invoke it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources