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Recent Telegram messages

telegram_recent_messages
Read-onlyIdempotent

Most recent messages across all Telegram Business chats, newest first. Use it for 'what came in today' style questions. Messages include is_forwarded and forward_origin (original author/channel and Unix date when available). For forwards, from identifies who forwarded it in this chat, not the original author. Missing origin data does not prove authorship; never infer a hidden author's identity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many messages to return. Default 20.
sinceNoOnly messages at or after this time. Accepts an ISO 8601 timestamp, unix seconds, 'today', 'yesterday', or a relative window like '24h' / '7d'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world). The description adds genuinely non-obvious semantic context: what is_forwarded/forward_origin mean, that 'from' identifies the forwarder rather than the author, and an explicit anti-inference warning. It does not discuss pagination or result-size behavior, so not a full 5.

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?

Front-loads the core scope in the first sentence and the usage cue in the second. The final two sentences on forward semantics are important but slightly repetitive ('is_forwarded and forward_origin' then restating the from/author distinction), so it is efficient but not maximally tight.

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?

With no output schema, the description carries the burden of explaining the return fields it names (is_forwarded, forward_origin, from) and does so well, including an interpretation caveat. What remains uncovered is pagination/ordering guarantees and limits, but the essentials for correct interpretation are present.

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 description coverage is 100%, with both limit and since fully documented in the schema (including accepted formats for since). The description adds nothing about either parameter, so the baseline 3 applies.

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?

States a specific verb+resource+scope: 'Most recent messages across all Telegram Business chats, newest first.' The 'across all chats' scope distinguishes it from the per-chat telegram_get_messages and the query-driven telegram_search_messages without needing to open a schema.

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?

Gives a clear usage cue ('Use it for what came in today style questions'), which tells the agent when this tool fits. It stops short of naming alternatives or exclusions, so the agent must infer that per-chat or search tools exist for narrower lookups.

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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