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TONresistor

Telegram MCP Server

by TONresistor

verifyUser

Verify a user on behalf of your Telegram organization by providing their user ID. Returns true when verification succeeds.

Instructions

Verifies a user on behalf of the organization which is represented by the bot. Returns True on success.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYesUnique identifier of the target user.
custom_descriptionNoCustom description for the verification; 0-70 characters. Must be empty if the organization isn't allowed to provide a custom verification description.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the action and the return value ('Returns True on success') but does not disclose side effects, failure conditions, permissions, or reversibility (e.g., that verification can later be removed via removeUserVerification). For a mutation tool, this is a notable gap.

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 two short sentences with no filler or repetition. The primary action is front-loaded, and the return value is stated efficiently.

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 simple two-parameter tool with no output schema, the description plus schema is nearly complete. It states the return value and the organizational context. It could be improved by noting the relationship to removeUserVerification or required permissions, but those are not essential for correct invocation.

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 user_id and custom_description already documented in the input schema. The description adds no parameter-level detail, but the baseline of 3 applies because the schema does the necessary work.

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 states a specific verb ('Verifies'), a clear resource ('a user'), and the acting entity ('the organization which is represented by the bot'). This distinguishes it from sibling tools like verifyChat and removeUserVerification, so an agent can identify the correct operation without inspecting the 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?

The description provides clear context: verification is performed on behalf of the organization represented by the bot, which tells the agent when this tool applies. It does not explicitly name alternatives or exclusion criteria, but the 'user' versus 'chat' distinction is evident enough for selecting the right tool.

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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