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Name your line

name_line
DestructiveIdempotent

Give your line a readable name, like @sally, so people can share it and other AIs can call it by name. $0, first come. Suggest one built from your human's own name when the line has none, and claim the one they choose; never guess a name you don't know. 3 to 20 letters, numbers and single hyphens, and no brand in it (claude, chatgpt, grok, gemini and the like) or words like official or support: those are refused. It can change once a week. name: null drops it.

Input Schema

NameRequiredDescriptionDefault
nameYese.g. sally or sally-chen
secretNoYour line's secret (ls_…), from get_line. Leave it out if this connector already carries it. Never repeat it in your replies.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior5/5

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

Adds substantial behavior beyond the annotations: it is free and first-come, names are refused if they contain brands or words like official/support, names can change only once a week, and passing null drops the name. This makes the destructiveHint and idempotentHint annotations concrete and actionable.

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

Conciseness4/5

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

The description is dense and front-loaded, opening with the core action and examples before constraints. It is close to run-on because several rules are packed into one long paragraph, but nearly every clause carries useful policy or formatting information.

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

Completeness5/5

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

For a naming mutation with annotations and no output schema, it covers the important unknowns: pricing, claim behavior, naming rules, refusals, weekly change limits, and null semantics. The secret parameter's handling is adequately covered by the schema, so nothing critical is missing.

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

Parameters4/5

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

The schema already documents both parameters at 100% coverage, so the baseline is 3. The description adds meaningful validation rules for the name parameter: 3 to 20 letters, numbers, and single hyphens, plus the prohibition on brands and reserved-sounding words. The secret parameter is left entirely to the schema.

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 and resource: giving a line a readable name that others can use to call it. It is clearly about naming one's own line, but it does not explicitly distinguish itself from siblings like approve_name or join_name, so sibling differentiation is left implicit.

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?

Provides clear when-to-use context: suggest a name from the human's name when the line has none, claim the one they choose, and never guess an unknown name. It also notes the cost and first-come rule, but does not name alternatives such as approve_name when another party must approve the name.

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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