Skip to main content
Glama

AstroTune — Vedic astrology (Jyotish)

feedback_add

ОБРАТНАЯ СВЯЗЬ О САМОМ ЭТОМ СЕРВЕРЕ, а не о расчётах. Зовите, когда инструмент повёл себя не так, как обещает описание; когда не хватило параметра или поля в ответе; когда отказ пришёл без внятной причины; когда описание непонятно. Пишите КОНКРЕТНО: имя инструмента, что звали, что ждали, что получили — читать это будет человек, и по «не работает» он не поймёт, что чинить. Повторная жалоба о том же не плодит запись, а поднимает счётчик: частота — мера важности.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoчто звали, с какими аргументами, что ждали, что пришло
kindNoпроблема
metaNoподробности одной строкой: аргументы вызова, текст отказа
toolNoимя инструмента; пусто — о сервере целиком

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changed
    • removedInput schema / properties / body / title
      Removed value: -"Body"
    • removedInput schema / properties / kind / title
      Removed value: -"Kind"
    • removedInput schema / properties / meta / title
      Removed value: -"Meta"
    • removedInput schema / properties / title
      Removed value: -{
      -  "description": "суть одной фразой, от 10 знаков",
      -  "title": "Title",
      -  "type": "string"
      -}
    • removedInput schema / properties / tool / title
      Removed value: -"Tool"
    • removedInput schema / title
      Removed value: -"feedback_addArguments"
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden. It usefully discloses that duplicate reports do not create a new record but increment a counter, and that frequency is treated as importance. It also warns that a human will read the report and vague wording is unhelpful. This goes beyond typical side-effect disclosure, though it does not mention persistence details or response behavior.

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?

The description is front-loaded with the core purpose, then gives triggers, content guidance, and duplicate-handling behavior in a logical order. Every sentence contributes necessary information without redundancy or fluff.

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 simple feedback tool with an output schema present, the description covers purpose, usage triggers, content expectations, and idempotency-like duplicate behavior. The main gap is that it does not address the required 'title' parameter absence in the schema, which could confuse an agent trying to construct a valid call, but this is a schema-level inconsistency rather than a major description omission.

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 75%, so the schema already explains body, meta, and tool. The description adds practical guidance on what to put in those fields: tool name, call arguments, expected result, actual result, and refusal text. It does not clarify the kind enum or the required-but-undefined title parameter, but it still adds useful semantics beyond the schema.

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?

The description opens by stating exactly what the tool is for: feedback about the server itself, not about calculations. It then lists concrete trigger conditions (tool behaved unlike its description, missing parameter/field, unexplained refusal, unclear description), which makes the purpose unmistakable and distinguishes it from the calculation-oriented siblings.

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 description gives explicit when-to-use scenarios and an explicit exclusion ('not about calculations'), so an agent can decide to call this tool instead of a calculation tool. It does not name feedback_list or other alternatives, but the trigger conditions are specific enough that the missing alternative mention is a minor gap.

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