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alexeyleshchenko

Telegram MCP Server

Get messages in chat

get_messages
Read-onlyIdempotent

Read or search messages in a Telegram chat: browse latest, search by text or sender, fetch by IDs, or load reply threads with surrounding context.

Instructions

Read or search messages in one chat: browse latest, search text, fetch by ids, or load replies to a message (comments, forum topics, threads). Use from_user to filter by sender (server-side, per-chat only). Use context to include neighboring messages and reply chains around each result. Use include_replies to fetch up to 5 direct replies per result. Do not combine message_ids with query or reply_to_id. Success: messages, has_more, optional total_count and discussion fields. Full documentation: https://github.com/alexeyleshchenko/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum messages to return (recommended 50 or less).
queryNoSearch within this chat only; comma-separated terms. Omit to browse latest or use message_ids / reply_to_id modes.
chat_idYesTarget chat: numeric id (e.g. -100…), username without @, or 'me' for Saved Messages.
contextNoNumber of surrounding messages to include as context for each search result. 0 = disabled (default). 1-10 = include N messages before and N after each result. Also fetches the message being replied to and top replies (if include_replies=true). Requires chat_id. Disabled when result count exceeds cost-based caps.
max_dateNoInclusive maximum date filter (ISO 8601 date or datetime). Omit for no upper bound.
min_dateNoInclusive minimum date filter (ISO 8601 date or datetime). Omit for no lower bound.
from_userNoOnly return messages from this sender. Not a display-name or contact-name search — bare strings resolve like chat_id via get_entity (usernames are case-insensitive and may match an unrelated channel). Prefer @username, phone (+…), or numeric user id. Also accepts 'me', 'self', t.me URL, -100 prefixed id. Uses Telegram's native from_id server-side filter (per-chat search only).
message_idsNoExact message ids to fetch. Mutually exclusive with query and reply_to_id.
reply_to_idNoAnchor message id: channel post id, forum topic_id from get_chat_info, or a message id for direct replies. Use with thread_scope.
thread_scopeNoOnly with reply_to_id. auto: full forum topic (topic_id) or channel comment thread via getReplies; else direct replies. full: nested branch under a message id (forum in-topic uses search window, not whole topic); supergroup threads use search top_msg_id. direct: immediate replies only.auto
include_repliesNoIf true, fetch up to 5 direct replies per search result and attach as replies. Each result costs one API call (not batchable). Default: false.
auto_expand_batchesNoExtra search batches to run when filters narrow results. Higher values may return more matches at the cost of latency.
include_total_countNoIf true, response may include total_count where supported (per-chat search; ignored for global search).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNo
codeNo
errorNo
actionNo
paramsNo
_warningNo
has_moreNo
messagesNo
exceptionNo
operationNo
error_codeNo
total_countNo
Behavior5/5

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

Beyond readOnlyHint/idempotentHint annotations, the description discloses return shape (messages, has_more, total_count, discussion), cost behavior ('Each result costs one API call (not batchable)'), mode incompatibilities, and dynamic context behavior ('Disabled when result count exceeds cost-based caps'). These are substantial behavioral details not present in annotations.

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 compact (~160 words), front-loaded with purpose, and each sentence carries distinct information about modes, parameters, constraints, or output. Long sentences add some density, but there is no filler or redundant repetition of schema content.

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 13-parameter tool with a rich schema and output schema, the description covers all operational modes (browse, search, ID fetch, replies, threads), states return fields, notes limitations, and links to full documentation. It provides enough operational detail for an agent to invoke correctly without additional lookups.

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% with detailed per-parameter descriptions, so baseline is 3. The description adds value by highlighting cross-parameter constraints (message_ids mutual exclusivity), server-side filtering scope ('per-chat only'), and cost implications of include_replies, which are not fully expressed in 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?

Description opens with 'Read or search messages in one chat' and enumerates distinct modes (browse latest, search text, fetch by ids, load replies), giving a specific verb and resource that distinguishes it from siblings like search_messages_globally and send_message.

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?

Provides clear usage context for each mode (from_user for sender filtering, context for neighbors/reply chains, include_replies for replies) and an explicit exclusion ('Do not combine message_ids with query or reply_to_id'). However, it does not explicitly name alternative tools like search_messages_globally, relying on the 'in one chat' scope and sibling names to imply alternatives.

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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