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socket.help

start_login

Connect this agent to its human’s socket.help workspace (no API key needed). Returns a link and code for the human to approve in their browser, and a deviceCode for finish_login. Never ask the human to paste an API key into the chat.

Input Schema

NameRequiredDescriptionDefault
nameNoHow the human will recognise you, e.g. "Claude Code on MacBook".
clientNoYour client, e.g. "Claude Code".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations only declare the generic profile (not read-only, not idempotent, non-destructive), so the description carries the real burden and does it well: it discloses the return payload (link, code, deviceCode) and the fact that a human must approve in a browser. The explicit 'Never ask the human to paste an API key into the chat' adds a security-relevant behavioral rule not present in annotations.

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?

Three short sentences, front-loaded with the purpose, then the return shape, then the safety rule. Nothing is redundant and each sentence adds information an agent needs.

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 no output schema, the description correctly explains what comes back and what to do with deviceCode. It leaves the intermediate approval step (e.g., wait_for_approval) implicit, which is a minor gap for a multi-step auth flow.

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% and both parameters are optional, so the schema already explains name and client with examples. The description adds no further meaning about these parameters, so the baseline of 3 applies.

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?

States a specific verb and resource ('Connect this agent to its human's socket.help workspace') and immediately names the sibling that continues the flow ('a deviceCode for finish_login'). An agent can distinguish it from finish_login and wait_for_approval without inspecting any 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?

Clearly establishes the situation in which to call it (bootstrapping workspace access without an API key) and routes the follow-up to finish_login. It does not state exclusions or what to do if a workspace connection already exists, so it stops short of full when/when-not guidance.

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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