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Statiko — Telegram trends & channel analytics

Posts from a channel

get_channel_posts
Read-only

Recent posts from a tracked Telegram channel, newest first, with text, view/forward/reply/reaction counts and reactions_map, the five most used reaction emoji with their counts. Accepts a channel slug or a numeric chat id, an optional text query to search the channel's posts, and an optional time range. Album posts are collapsed to one row, so a page may hold fewer than limit posts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNoOnly posts whose text contains this term (case-insensitive substring)
sinceNoOnly posts at or after this ISO 8601 timestamp
untilNoOnly posts before this ISO 8601 timestamp
channelYesChannel slug (Telegram username, without the @) or numeric channel id
message_typeNoFilter by message type: TEXT, PHOTO, VIDEO, AUDIO, DOCUMENT, UNSUPPORTED (case-insensitive)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
postsYes
channelYes
chat_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavioral context: newest-first ordering, album collapsing to a single row, and the resulting effect that a page may contain fewer than `limit` posts.

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 dense sentences, front-loaded with what the tool returns and followed by the accepted inputs and the album/limit caveat. No filler sentences, though the return-field enumeration is somewhat long given an output schema exists.

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 six parameters, only one required, an output schema present and a read-only annotation set, the description covers inputs, ordering, and the one surprising edge case (album collapse shortening pages). It is essentially complete for calling the tool; only the sibling-routing guidance is absent.

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 83%, so the schema already documents channel, query, since, until and message_type in detail. The description adds only the collapsed-album caveat around `limit` and a loose restatement of channel/query/time-range, so it does not materially extend parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Recent posts from a tracked Telegram channel, newest first') and enumerates the returned metrics, which is far more than a restatement of the name. It does not explicitly contrast itself with close siblings such as get_channel_timeline or search, so sibling differentiation is left to inference.

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 lists the optional query and time-range filters, which implies how to narrow results, but never states when to prefer this tool over get_channel_timeline or search, nor any exclusion criteria. Usage is implied rather than directed.

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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