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ads_client_profile_channel_review

Review the public Telegram channel linked to a client profile, search it for AI-related topics, and store a bounded result; private chats are not read and no messages are sent.

Instructions

Review the public channel linked in a Telegram user's profile and search it for AI-related topics. Uses the selected local GramJS/TDLib backend, never reads non-public chats, never sends messages, and stores only the bounded review result in the client profile.

Input Schema

NameRequiredDescriptionDefault
queriesNoTopic queries; defaults to Russian and English AI terms
profile_idYes
per_query_limitNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and adds meaningful context: it uses a local GramJS/TDLib backend, never reads non-public chats, never sends messages, and stores only a bounded result in the client profile. It does not cover authentication, rate limits, or failure behavior, but the safety and side-effect profile is unusually clear.

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 two compact sentences, front-loads the core action, and then adds safety and storage behavior. There is no filler or repetition.

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

Completeness3/5

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

There is no output schema and no annotations, so the description should carry more detail. It explains the privacy boundary and that a bounded review result is stored, but it does not describe the result shape, what happens when no public channel exists, or how partial failures are surfaced.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33%, and the description does not compensate by explaining profile_id, queries, or per_query_limit. It indirectly implies profile_id identifies the Telegram user profile and that AI-topic search is performed, but it says nothing about the query list or the per-query result limit.

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?

It states a specific verb and resource: reviewing the public channel linked in a Telegram user's profile and searching it for AI-related topics. This clearly distinguishes it from generic Telegram post-search tools because the target is the channel already linked to a specific profile.

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

Usage Guidelines3/5

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

The description implies the use case, reviewing a profile-linked public channel for AI topics, and notes that non-public chats are never read. However, it does not explicitly say when to use this versus alternatives such as ads_telegram_public_posts_search or ads_telegram_channel_direct_check.

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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