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FantomaSkaRus1

telegram-bot-mcp

answer_inline_query

Send results to answer an inline query from a Telegram user, with options for caching, personalization, pagination, and a button.

Instructions

Answer an inline query with results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
buttonNoJSON object with InlineQueryResultsButton (button shown above results)
resultsYesJSON array of InlineQueryResult objects
cache_timeNoCache time in seconds (default: 300)
is_personalNoResults should be personalized
next_offsetNoOffset for next page of results
inline_query_idYesID of the inline query to answer
Behavior2/5

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

With no annotations, the description carries full burden. It only says 'answer with results,' but doesn't disclose side effects, state changes, or behavioral traits like cache behavior or personalization.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short, but at the expense of necessary detail. It is concise but not optimally informative for an AI agent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 6 parameters, no output schema, and no annotations, the description fails to explain what an inline query is, the expected flow, or the meaning of 'results,' making it incomplete.

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 no additional meaning beyond the schema's parameter descriptions.

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?

The description clearly states the verb 'answer' and the resource 'inline query', but it lacks differentiation from sibling tools like answer_callback_query or answer_web_app_query, which could confuse an AI agent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. No mention of prerequisites, conditions, or context (e.g., when an inline query is received).

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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