hash_text
A execute tool on the GadgetHumans API Hub MCP server.
This record as markdown: /tools/io-github-scotia1973-bot-api-hub/hash-text.md
What hash_text does on GadgetHumans API Hub
AI agents invoke hash_text to trigger actions in GadgetHumans API Hub. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why hash_text is rated High
Based on the tool name and server context (which mentions hashing as one of its utility APIs), this tool likely computes a cryptographic hash of input text. Hashing is a computational/transformation operation with no side effects on external systems, making Execute the closest category. However, since the description is empty, confidence is low. It could arguably be Read/Other if purely transformative.
From the tool's definition Tool name 'hash_text' suggests hashing operation; description is empty/uninformative
Attacks that exploit this kind of access
The rule that runs hash_text safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hash_text, this is the rule to start with:
hash_text stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every hash_text call is checked against it from then on.
Questions about hash_text
hash_text is a execute tool on the GadgetHumans API Hub MCP server. It is categorised as a Execute tool in the GadgetHumans API Hub MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for hash_text: 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 GadgetHumans API Hub. Nothing to install.
hash_text is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the hash_text 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 hash_text. 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.
hash_text is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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