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alexeyleshchenko

Telegram MCP Server

Get messages in chat

get_messages
Read-onlyIdempotent

Search or browse chat messages, filter by sender or date, and retrieve replies, comments, or forum threads around each result.

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/leshchenko1979/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 the readOnlyHint and idempotentHint annotations, the description discloses meaningful behavioral traits: include_replies 'costs one API call (not batchable),' context is 'Disabled when result count exceeds cost-based caps,' and the server-side per-chat filter for from_user. These details inform the agent about side effects and limitations without contradicting annotations.

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 compact yet information-dense, front-loading the core action in the first sentence and then detailing key usage points and constraints. It avoids fluff and ends with a documentation link, earning each sentence's place.

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 tool with 13 parameters, an output schema, and read-only annotations, the description provides a comprehensive overview: it lists all major modes, notes cost-related behavior, states success response fields, and links to full documentation. This is sufficient for an agent to select and invoke the tool correctly without needing to infer critical details.

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?

The schema descriptions already cover all 13 parameters with 100% coverage, including the mutual exclusivity of message_ids and the per-chat nature of from_user. The description's parameter-related guidance, such as 'Use context to include neighboring messages,' largely repeats what the schema already states, adding minimal semantic value beyond the structured fields.

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 clearly states the tool reads or searches messages within one chat, enumerating four distinct modes: browse latest, search text, fetch by ids, and load replies. The phrase 'in one chat' explicitly distinguishes it from the sibling tool search_messages_globally, establishing scope and resource.

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 provides clear usage context, such as 'Use from_user to filter by sender (server-side, per-chat only)' and 'Do not combine message_ids with query or reply_to_id,' which set expectations for parameter combinations. However, it does not explicitly mention when to prefer the global search sibling or exclude this tool for cross-chat searches, so it stops short of full when-not guidance.

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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