image_blurhash
imagepeek: Generate a BlurHash placeholder string for an image. For the palette use image_colors. Returns the BlurHash string of an image (the published woltapp algorithm, identical to the reference package), with x_components and y_components 1-9 (default 4 x 3), for blurred placeholders while t...
This record as markdown: /tools/dev-tanod-tanod/image-blurhash.md
What image_blurhash does on Tanod
AI agents call image_blurhash to retrieve information from Tanod 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 |
|---|---|---|---|
url | object | — | Public http(s) URL of the image (at most 10 MB; private, internal and IP-literal hosts are refused); or use image_base64. |
auto_orient | boolean | — | Apply the EXIF orientation first (default true). |
image_base64 | object | — | The image as standard or url-safe base64 (at most 10 MB decoded; a data:image/...;base64, prefix is fine); or use url. |
x_components | integer | — | Horizontal components (1-9, default 4): more detail, a longer hash. |
y_components | integer | — | Vertical components (1-9, default 3). |
Parameters from the server's own tool schema.
Why image_blurhash is rated Low
Even though image_blurhash only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsAccepts URL/endpoint input (url)
Attacks that exploit this kind of access
The rule that runs image_blurhash safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Tanod, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For image_blurhash, this is the rule to start with:
image_blurhash 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 Tanod, apply this rule, and every image_blurhash call is checked against it from then on.
Questions about image_blurhash
imagepeek: Generate a BlurHash placeholder string for an image. For the palette use image_colors. Returns the BlurHash string of an image (the published woltapp algorithm, identical to the reference package), with x_components and y_components 1-9 (default 4 x 3), for blurred placeholders while the real image loads. Reads PNG, JPEG, WebP, GIF, TIFF, BMP, ICO and AVIF; other formats and images over 40 megapixels are refused (not charged). Images are never logged or stored. Typically 0.5-2 s. Price: USD 0.002. Free: 3 imagepeek calls per IP per UTC day. Docs: https://tanod.dev/learn/blurhash-api.html. It is categorised as a Read tool in the Tanod MCP Server, which means it retrieves data without modifying state.
image_blurhash accepts 5 parameters: url, auto_orient, image_base64, x_components, y_components. The full parameter table on this page comes from the server's own tool schema.
Register the Tanod MCP server in PolicyLayer and add a rule for image_blurhash: 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 Tanod. Nothing to install.
image_blurhash 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 image_blurhash 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 image_blurhash. 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.
image_blurhash is provided by the Tanod MCP server (https://tanod.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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