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Read a drop's stored data

dropyour_read_data
Read-only

Read a drop's app data — the shared-memory state (a JSON key/value snapshot mirroring the app's localStorage), so you can answer questions about what the app holds. Returns scope='server' with {version, data} when the drop has server memory (accounts), or scope='client-only' with data=null when the data lives only in the visitor's browser. With an account token, owned drops need no managementToken.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dropIdYes
managementTokenNo

TDQS

A4/5.0
Behavior4/5

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

Beyond the readOnlyHint annotation, it discloses the key behavioral branch: scope='server' with {version, data} when server memory exists, or scope='client-only' with data=null otherwise. It also clarifies a token condition, adding useful context beyond the annotation.

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?

Three dense, purposeful sentences with the core purpose and behavioral details front-loaded. The parenthetical about localStorage is useful, and there is no filler.

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?

There is no output schema, so the return-shape detail is valuable and largely covers response expectations. However, the managementToken authorization rule is incompletely specified, leaving ambiguity for an agent that does not already have an account-token context.

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?

With 0% schema description coverage, the description must compensate. It adds some meaning by explaining the account-token/managementToken relationship and the data scopes, but it never fully defines when managementToken is actually required or what ownership implies. dropId is left largely to inference from name and schema pattern.

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 action and resource: reading a drop's app data, defined as the shared-memory state / JSON snapshot mirroring localStorage. This clearly distinguishes it from sibling read tools like dropyour_read_content and dropyour_read_app_files, which target different data.

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 gives a clear use condition: use this when you need to answer questions about what the app holds, e.g., to inspect the app's stored state. It doesn't explicitly name alternatives or exclusions, but the context is strong enough for an agent to route correctly.

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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TDQS

A4/5.0
Disambiguation4/5

Most tools target clearly distinct resources and actions, and descriptions do a good job separating overlapping areas like call/release/status or read_content/read_app_files. The main risk is momentary confusion between publish/replace/release and the two read-content tools, but careful reading resolves it.

Naming Consistency3/5

All names share the dropyour_ prefix and use snake_case, but the overall pattern is mixed: read_* and list_versions use verb-first naming, while records_list, secret_set, secret_delete, and secrets_list use noun-first naming, and logs/status/whoami are bare nouns. Still readable, but not a consistent verb_noun convention.

Tool Count3/5

23 tools is on the heavy side for a single server and spans several distinct subdomains: drop lifecycle, graduated apps, data, records, secrets, scheduling, and auth. Each tool appears purposeful, but the surface could reasonably be split into focused servers.

Completeness5/5

The set covers the full drop lifecycle — publish, replace, release, rollback, delete, status, settings — plus graduated app concerns like files, logs, versions, store records, app data, secrets, and scheduling. There are no obvious dead ends for the stated domain.