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Store temporary data

store_temporary_data

Put any JSON value somewhere another process can fetch it, and get back a storage_id plus a public read_url. Use it to hand a result to a different agent, a script, a webhook receiver or a later run, when there is no shared filesystem and no database between you. No API key, no account and no sign up: call it directly. Anyone holding the URL can read it, so never store secrets, credentials or personal data. The value disappears 24 hours after it is written. Read it back with read_temporary_data, passing the storage_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe JSON value to store. Any type: object, array, string, number, boolean or null. Readable by anyone with the URL, so no secrets.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
read_urlYes
storage_idYes
expire_timestampYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedInput schema / properties / data / description
      Previous value: -"Any JSON value to store."New value: +"The JSON value to store. Any type: object, array, string, number, boolean or null. Readable by anyone with the URL, so no secrets."
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations are all false, but the description discloses key behaviors: no authentication required ('No API key, no account and no sign up'), public readability ('Anyone holding the URL can read it'), and data expiration ('disappears 24 hours after it is written'). It doesn't mention rate limits or failure modes, but these are not critical for a simple store operation. The description adds substantial context beyond annotations.

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 a single paragraph with clear, front-loaded purpose and practical guidance. It is appropriately sized for the tool's complexity, covering usage, alternatives, security, and expiration in about 100 words. Slightly redundant with schema ('Readable by anyone with the URL, so no secrets' is repeated), but overall efficient.

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?

The tool has one simple parameter, an output schema (implied by storage_id and read_url), and no nested objects. The description covers what the tool does, when to use it, security constraints, and expiration. It does not detail the output structure, but the output schema likely does. Sibling tools are addressed via the read_temporary_data reference. This is nearly complete for its complexity.

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 input schema already describes the `data` parameter with 100% coverage, including type and security warning. The description reinforces the parameter's flexibility ('Any type: object, array, string, number, boolean or null') and reiterates the no-secrets warning, which adds a safety emphasis. With high schema coverage, a baseline of 3 is given, but the description's reinforcement of security and type flexibility earns a 4.

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 clearly states the tool's purpose: 'Put any JSON value somewhere another process can fetch it' and returns a storage_id plus a public read_url. It distinguishes from siblings by explicitly mentioning use for inter-process handoff when no shared filesystem or database exists, and it names the read counterpart (read_temporary_data).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit when-to-use context: 'Use it to hand a result to a different agent, a script, a webhook receiver or a later run, when there is no shared filesystem and no database between you.' It also gives a clear alternative: 'Read it back with read_temporary_data,' and warns against storing secrets, which guides appropriate usage.

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

A4.3/5.0
Disambiguation5/5

Each tool belongs to a clearly separated resource family: leases, heartbeats, human approvals, webhook captures, temporary data, and small utilities. Even similar-sounding tools like create_agent_wake and create_heartbeat are differentiated by their descriptions: durable task completion versus deadline monitoring.

Naming Consistency5/5

Tool names consistently use a snake_case verb_noun pattern, such as acquire_lease, create_heartbeat, read_webhook_capture, and store_temporary_data. Paired operations read naturally, with only a minor and acceptable variation between get_current_time and the read_* tools.

Tool Count4/5

At 18 tools, this is slightly above the ideal 3-15 range, but the server intentionally bundles several independent public utilities rather than one narrow domain. Each tool has a distinct purpose, so the count feels full but not bloated.

Completeness4/5

Core workflows are well covered: leases support acquire, renew, release, and complete; heartbeats support create, ping, and read; captures, approvals, and temporary data have create/read or store/read pairs. There are no explicit delete, cancel, or update tools, but the 24-hour expiration design makes those gaps manageable.