New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

accounting_suggest_statement_matches

Rank ledger transactions against a statement's unmatched lines. Amount must match exactly; date proximity and description then rank the candidates. Writes nothing — apply one with accounting_confirm_statement_match.

Low RISK CLASS
Category Read
Parameters 22 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/lovieco-lovie-company-formation-mcp-npx/accounting-suggest-statement-matches.md

What accounting_suggest_statement_matches does on Lovie Company Formation MCP

AI agents call accounting_suggest_statement_matches to retrieve information from Lovie Company Formation MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
companyId object Yes UUID value wrapper.
statementId object Yes UUID value wrapper.

Parameters from the server's own tool schema.

Why accounting_suggest_statement_matches is rated Low

Even though accounting_suggest_statement_matches 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.

Questions about accounting_suggest_statement_matches

What does the accounting_suggest_statement_matches tool do? +

Rank ledger transactions against a statement's unmatched lines. Amount must match exactly; date proximity and description then rank the candidates. Writes nothing — apply one with accounting_confirm_statement_match. It is categorised as a Read tool in the Lovie Company Formation MCP MCP Server, which means it retrieves data without modifying state.

What parameters does accounting_suggest_statement_matches accept? +

accounting_suggest_statement_matches accepts 2 parameters: companyId, statementId. Required: companyId, statementId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on accounting_suggest_statement_matches? +

Register the Lovie Company Formation MCP server in PolicyLayer and add a rule for accounting_suggest_statement_matches: 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 Lovie Company Formation MCP. Nothing to install.

What risk level is accounting_suggest_statement_matches? +

accounting_suggest_statement_matches is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit accounting_suggest_statement_matches? +

Yes. Add a rate_limit block to the accounting_suggest_statement_matches 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.

How do I block accounting_suggest_statement_matches completely? +

Set action: deny in the PolicyLayer policy for accounting_suggest_statement_matches. 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.

What MCP server provides accounting_suggest_statement_matches? +

accounting_suggest_statement_matches is provided by the Lovie Company Formation MCP server (lovie). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Lovie Company Formation, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Lovie Company Formation's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.