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LoneVertex

Telegram MCP — Next Generation

Generate Visual Contact Sheet of Photos

get_photo_sheet
Read-onlyIdempotent

Create a visual contact sheet collage of recent chat photos to review shared imagery at a glance without downloading each item individually.

Instructions

Generate a visual contact sheet collage of recent photos from a chat. Use for quick visual overviews of shared imagery without downloading each item individually.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of items or records to retrieve (integer between 1 and 100).
sourceNoImage source selector: 'camera', 'saved', or 'album'.avatars
accountNoOptional account label for multi-account environments. If omitted in single-mode, the default account is used. In multi-mode without an account, read-only tools fan out across all configured accounts.
chat_idYesTarget Telegram chat, group, supergroup, channel, or user identifier. Accepts numeric chat ID (e.g. -1001234567890 or 123456789), username (e.g. '@channel'), or phone number.
columnsNoNumber of columns in contact sheet contact collage (between 1 and 5).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.1.1

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds a useful behavioral detail (produces a collage without downloading each item), but says nothing about return format, size, or rate behavior.

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?

Two tight sentences, front-loaded with what the tool does and followed by the reason to pick it. No redundancy or filler.

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?

For a read-only tool with no output schema, the description conveys the essential output (a visual contact sheet) and the rationale. It is nearly complete; a note on the returned image format or pagination would close the remaining gap, but nothing critical is missing.

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%, so every parameter (limit, source, account, chat_id, columns) is already documented in the schema. The description adds no syntax, format, or default details beyond that, so the baseline of 3 applies.

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 (Generate) and resource (visual contact sheet collage of recent photos from a chat), which is clearly distinct from list_photos or open_photo by emphasizing the composited overview rather than individual retrieval. It doesn't explicitly name a sibling alternate, but the operation is unambiguous from the text alone.

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?

Provides a use case ('quick visual overviews of shared imagery without downloading each item individually'), which implies when it beats per-item tools. However, it never names list_photos or open_photo as alternatives or states exclusions, leaving the choice to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.