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Search messages globally

search_messages_globally
Read-onlyIdempotent

Search across all Telegram chats at once using comma-separated query terms, with optional filters by date, chat type, or public username. Returns matching messages and metadata.

Instructions

Search all Telegram chats at once (not scoped to one chat). Comma-separated query terms; optional filters by date, chat kind, and public username. Success: message list and metadata dict. Global search ignores include_total_count. Full documentation: https://github.com/leshchenko1979/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch terms, comma-separated for multiple terms (OR-style global search). Required.
limitNoMaximum messages to return (recommended 50 or less).
min_dateNoInclusive minimum date filter (ISO 8601 date or datetime). Omit for no lower bound.
max_dateNoInclusive maximum date filter (ISO 8601 date or datetime). Omit for no upper bound.
chat_typeNoComma-separated chat kinds: private, bot, group, channel. Case-insensitive; extra spaces allowed.
publicNoIf true, prefer chats with a public username; if false, without. Does not apply to private DMs. Omit to skip this filter.
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

No arguments

Behavior4/5

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

Annotations already indicate readOnly and idempotent. The description adds that global search ignores include_total_count and mentions output structure, providing behavioral context beyond annotations without contradiction.

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?

Two sentences plus a link are concise and front-loaded with the main purpose. Each sentence adds value, though the link to full docs is a minor concession to completeness.

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?

Given 8 described parameters, annotations, and an output schema (mentioned), the description covers global scope, filter options, and a behavioral note. It is sufficiently complete for an AI agent.

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 coverage is 100%, so baseline is 3. The description adds context about comma-separated queries and the ignored include_total_count parameter, which adds marginal value beyond 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?

The description clearly states 'Search all Telegram chats at once (not scoped to one chat)', specifying the verb (search), resource (messages), and global scope, which distinguishes it from siblings like 'get_messages'.

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?

It describes the query format and optional filters but lacks explicit when-not or alternative tool guidance. Sibling names (e.g., get_messages) imply context, but the description does not directly guide selection.

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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