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Set a drop password

set_drop_password
Destructive

Set or rotate the shared password on a drop you own. Requires an sp_ API key and active paid Pro/Team; unavailable billing returns an error, not a public drop. Visitors unlock in their browser. Never put the password in a URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe drop slug (the subdomain part of its URL).
passwordYesShared password: 8-128 Unicode characters, at most 512 UTF-8 bytes. Requires active paid Pro/Team. Sent privately, never in the URL or response. Omit on a live named redeploy to preserve protection. Recreating an expired or purged name is a new drop: send the password again.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
password_protectedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already indicate a destructive, non-read-only, non-idempotent write operation. The description adds valuable behavioral context beyond that: billing failures error out instead of exposing a public drop, visitors unlock in their browser, and the password must not be placed in a URL. This meaningfully supplements the structured hints without contradicting them.

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 compact, front-loaded with the core action, and every sentence earns its place: the operation, prerequisites, failure behavior, visitor experience, and a security warning. No redundant phrases or filler are present.

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 write operation with annotations, a fully documented schema, and an output schema, the description covers the essential context: authentication needs, billing prerequisite, failure mode, security constraints, and the end-user effect. Nothing critical for selecting or calling the tool is missing.

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%, so the schema already fully documents both slug and password, including length limits, UTF-8 byte constraints, and redeploy behavior. The description adds minimal parameter-specific semantics beyond reinforcing that the password is shared and should be kept out of URLs, so the baseline score 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?

The description opens with a specific verb and resource: 'Set or rotate the shared password on a drop you own.' This clearly defines the operation and naturally distinguishes it from the sibling remove_drop_password tool, which removes rather than sets or rotates.

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 gives clear context for when the tool is usable: it requires an sp_ API key and active paid Pro/Team, and it warns that unavailable billing returns an error rather than falling back to a public drop. It does not explicitly mention alternatives or when to prefer remove_drop_password, but the usage context is strong.

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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