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submit_alert_feedback

Ocena alertu - ten sam sygnał, co kciuki w Telegramie.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
alertIdNoHex alertId from get_alerts. Server resolves the underlying evaluationId.
verdictYeshit = direction matched and was actionable; miss = wrong / unactionable; spam = routine ESPI noise that shouldn't have alerted at all (drives future filter tightening).
evaluationIdNoAlternative: hex evaluationId directly.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

The readOnlyHint=false annotation already signals a write operation, and the description adds little beyond the Telegram-thumbs analogy. It does not disclose side effects, idempotency, or consequences such as how feedback affects future alert filtering or model tuning.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and front-loads the core idea with no filler. The Telegram analogy is compact but somewhat cryptic; brevity is good, though the definition is more of a tagline than a structured tool description.

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

Completeness2/5

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

Despite full schema coverage, the narrative context is thin for a write tool with no output schema. It does not explain when to call it, what happens after submitting feedback, or how the agent should choose between alertId and evaluationId, so an agent lacks operational context.

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%, and the parameter descriptions already explain alertId, evaluationId, and the verdict enum meanings. The tool description itself adds no parameter-level meaning, so it stays at the baseline for fully documented schemas.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys that the tool is about rating an alert and compares it to Telegram reactions, so an agent can infer a feedback-submission purpose. However, it is a noun phrase rather than a clear action statement, and it does not explicitly distinguish this submit tool from the many alert-related siblings.

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

Usage Guidelines2/5

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

No when-to-use or when-not-to-use guidance is provided. The description never names alternatives, prerequisites, or situations where this tool should or should not be called, leaving the agent to rely on the tool name and sibling list.

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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