Generates specific improvement suggestions for MCP tool definitions to increase their ToolRank Score. Use this when you have a low score and want actionable fix recommendations. Returns rewritten description, improved schema, and estimated score improvement for each suggestion.
Part of the Toolrank MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call toolrank_suggest to perform operations in Toolrank. While the risk category is not fully classified, applying a rate limit gives you visibility into how often the tool is called and prevents unexpected bursts of activity from autonomous agents.
Applying a policy to toolrank_suggest gives you an audit trail of every call an AI agent makes. Even for low-risk tools, visibility into agent behaviour helps you debug issues, optimise workflows, and maintain compliance with your organisation's security requirements.
Apply a rate limit to control usage and monitor for unexpected behaviour.
tools:
toolrank_suggest:
rules:
- action: allow
rate_limit:
max: 60
window: 60See the full Toolrank policy for all 2 tools.
Agents calling other-class tools like toolrank_suggest have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Other risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Generates specific improvement suggestions for MCP tool definitions to increase their ToolRank Score. Use this when you have a low score and want actionable fix recommendations. Returns rewritten description, improved schema, and estimated score improvement for each suggestion.. It is categorised as a Other tool in the Toolrank MCP Server, which means it performs auxiliary operations.
Add a rule in your Intercept YAML policy under the tools section for toolrank_suggest. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Toolrank MCP server.
toolrank_suggest is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the toolrank_suggest rule in your Intercept 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 Intercept policy for toolrank_suggest. 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.
toolrank_suggest is provided by the Toolrank MCP server (imhiroki/toolrank). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept