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contact_support

Send a message to the openFlow human operator (no Telegram needed). Replies come from a human, usually within hours; read them with support_replies.

Input Schema

NameRequiredDescriptionDefault
contextNo
messageYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare that this is a non-read-only, open-world, non-idempotent operation. The description adds useful context: no Telegram account is required, a human responds usually within hours, and replies must be read via support_replies. It does not mention authentication or rate limits, but with annotations covering the safety profile, this is solid.

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 short sentences with no wasted words. The main action is front-loaded, and the reply-reading instruction follows immediately.

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

Completeness3/5

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

The tool is simple, has no output schema, and annotations cover key safety traits. However, the optional context parameter is not explained, which leaves an agent guessing about its purpose when composing the message.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does not explain the optional context parameter at all, and only minimally implies what message should contain. The required message parameter is inferable, but the context parameter is left undocumented.

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 and resource — sending a message to the openFlow human operator — and explicitly distinguishes this from reading replies via the sibling tool support_replies. An agent can tell exactly what the tool does without opening 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?

It clearly indicates when to use the tool: contacting a human operator. It also routes follow-up behavior to support_replies for reading responses. It does not explicitly list exclusions or other alternatives, but the sibling relationship is clear.

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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