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Glama
Johnhyeon

TelegramLens

by Johnhyeon

telegram_dismiss_backfill

Reject historical data backfill proposals by clearing the suggestion flag, preventing unnecessary data collection in stock mention analysis.

Instructions

과거 데이터 추가 수집 제안을 거절(제안 플래그 제거)합니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.3

TDQS

A3.8/5.0
Behavior3/5

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

The description adds a useful behavioral detail beyond the annotations by stating that the proposal flag is removed. However, it does not explain consequences, reversibility, or why repeated calls may differ (annotations set idempotentHint=false). It is adequate but not rich.

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 a single front-loaded sentence with no filler. Every word adds semantic value, and the core action and side effect are stated immediately.

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 zero-parameter tool with an output schema and annotations present, the description covers the essential operation. It is slightly incomplete only in that it does not clarify when the dismissal should be used or what happens after the flag is removed.

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?

The input schema has zero properties and 100% schema description coverage, so there are no parameters for the description to document. The baseline for a zero-parameter tool applies, and no compensation is needed.

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 uses a specific verb ('거절합니다' – rejects), names the exact object (과거 데이터 추가 수집 제안, or past-data additional collection proposal), and explains the concrete mechanism (removes the proposal flag). It is immediately clear how this differs from sibling tools like telegram_collect_history.

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?

The description says only what the tool does, not when to use it versus alternatives. It names no sibling tools, no exclusions, and no conditions or prerequisites for dismissing a backfill proposal. The intended usage is only implicit in the verb 'reject'.

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