read_docs
Return a canonical Clipkit doc as text. topic "card" = the ~8KB compact authoring card — the recommended context for authoring; "pattern-data-viz" / "pattern-cinematic-ui" / "pattern-ui-screencast" = ~4-5KB archetype pattern cards (proven idioms: count-ups and bar rows; product hero shots with ca...
This record as markdown: /tools/dev-clipkit-clipkit/read-docs.md
What read_docs does on Clipkit
AI agents call read_docs to retrieve information from Clipkit 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 |
|---|---|---|---|
topic | string | — | Which doc. Default "agents". |
Parameters from the server's own tool schema.
Why read_docs is rated Low
Tool retrieves and returns documentation and reference materials with no side effects or modifications.
From the tool's definition Return a canonical Clipkit doc as text; load documentation and reference materials.
Attacks that exploit this kind of access
The rule that runs read_docs safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Clipkit, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For read_docs, this is the rule to start with:
read_docs 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 Clipkit, apply this rule, and every read_docs call is checked against it from then on.
Questions about read_docs
Return a canonical Clipkit doc as text. topic "card" = the ~8KB compact authoring card — the recommended context for authoring; "pattern-data-viz" / "pattern-cinematic-ui" / "pattern-ui-screencast" = ~4-5KB archetype pattern cards (proven idioms: count-ups and bar rows; product hero shots with camera rigs; faked app UI with typing/cursor/clicks) — load ONE alongside the card when the brief matches its archetype; "agents" = the full authoring guide (fetch only when the card doesn't cover a need); "protocol" = the formal field spec; "brand" = brand reference. (Same docs offered as MCP resources, exposed as a tool so you can read them directly — resources are not always model-readable.). It is categorised as a Read tool in the Clipkit MCP Server, which means it retrieves data without modifying state.
read_docs accepts 1 parameter: topic. The full parameter table on this page comes from the server's own tool schema.
Register the Clipkit MCP server in PolicyLayer and add a rule for read_docs: 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 Clipkit. Nothing to install.
read_docs 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 read_docs 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 read_docs. 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.
read_docs is provided by the Clipkit MCP server (https://www.clipkit.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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