This record as markdown: /tools/io-tinyfn-tinyfn/adler32-checksum.md
What adler32_checksum does on TinyFn
AI agents call adler32_checksum to retrieve information from TinyFn without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
text | string | Yes | Text to checksum |
Parameters from the server's own tool schema.
Why adler32_checksum is rated Low
Adler-32 is a deterministic hashing algorithm that takes input and produces a fixed checksum value. This is a read-only operation with no side effects, no code execution, no data modification, and no destructive actions. The severity is low because misuse of this tool by an AI agent cannot cause harm—it can only compute checksums of provided data.
From the tool's definition Tool name 'adler32_checksum' and description 'Calculate Adler-32 checksum' indicate a pure computation that reads input data and produces a checksum hash output without modifying, executing code, or triggering external side effects.
Attacks that exploit this kind of access
The rule that runs adler32_checksum safely
PolicyLayer is an MCP gateway: it sits between your AI agents and TinyFn, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For adler32_checksum, this is the rule to start with:
adler32_checksum is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect TinyFn, apply this rule, and every adler32_checksum call is checked against it from then on.
Questions about adler32_checksum
Calculate Adler-32 checksum. It is categorised as a Read tool in the TinyFn MCP Server, which means it retrieves data without modifying state.
adler32_checksum accepts 1 parameter: text. Required: text. The full parameter table on this page comes from the server's own tool schema.
Register the TinyFn MCP server in PolicyLayer and add a rule for adler32_checksum: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches TinyFn. Nothing to install.
adler32_checksum is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the adler32_checksum rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for adler32_checksum. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
adler32_checksum is provided by the TinyFn MCP server (https://api.tinyfn.io/mcp/all/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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