wger_exercises
Search and browse exercises from the wger workout database.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/wger-exercises.md
What wger_exercises does on UnClick
AI agents call wger_exercises to retrieve information from UnClick 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 |
|---|---|---|---|
limit | number | — | Results per page (default 20) |
search | string | — | Exercise name to search for |
category | number | — | Category ID (use wger_categories for list) |
Parameters from the server's own tool schema.
Why wger_exercises is rated Low
The tool performs read-only operations (search and browse) on exercise data. There are no side effects, data modifications, destructive actions, financial transactions, or code execution involved. This is a straightforward data retrieval tool typical of read operations.
From the tool's definition Tool description states 'Search and browse exercises' — these are query operations that retrieve data from the wger workout database without modifying, deleting, or executing external operations.
Attacks that exploit this kind of access
The rule that runs wger_exercises safely
PolicyLayer is an MCP gateway: it sits between your AI agents and UnClick, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wger_exercises, this is the rule to start with:
wger_exercises 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 UnClick, apply this rule, and every wger_exercises call is checked against it from then on.
Questions about wger_exercises
Search and browse exercises from the wger workout database. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
wger_exercises accepts 3 parameters: limit, search, category. The full parameter table on this page comes from the server's own tool schema.
Register the UnClick MCP server in PolicyLayer and add a rule for wger_exercises: 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 UnClick. Nothing to install.
wger_exercises 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 wger_exercises 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 wger_exercises. 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.
wger_exercises is provided by the UnClick MCP server (@unclick/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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