This record as markdown: /tools/2geonhyup-dart-mcp/search-disclosure.md
What search_disclosure does on Dart
AI agents call search_disclosure to retrieve information from Dart without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why search_disclosure is rated Low
Without a description, classification relies on naming conventions and context. The 'search_' prefix and sibling tools all performing retrieval operations suggest this tool queries disclosure data rather than modifying or executing operations. The lack of description lowers confidence to 0.7, but the pattern is consistent with read operations.
From the tool's definition Tool name is 'search_disclosure' with no description provided. The 'search_' prefix and presence among sibling tools (get_current_date, search_business_information, search_detailed_financial_data, search_json_financial_data) indicate a read-only query…
Attacks that exploit this kind of access
The rule that runs search_disclosure safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Dart, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_disclosure, this is the rule to start with:
search_disclosure 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 Dart, apply this rule, and every search_disclosure call is checked against it from then on.
Questions about search_disclosure
search_disclosure is a read tool on the Dart MCP server. It is categorised as a Read tool in the Dart MCP Server, which means it retrieves data without modifying state.
Register the Dart MCP server in PolicyLayer and add a rule for search_disclosure: 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 Dart. Nothing to install.
search_disclosure 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 search_disclosure 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 search_disclosure. 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.
search_disclosure is provided by the Dart MCP server (2geonhyup/dart-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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