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Validate Transaction Date

brc_validate_transaction_date
Read-only

Checks whether a proposed transaction date is inside the connected BRC company's current financial year.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "companyName": "<companyName>",
      "transactionDate": "<transactionDate>"
    },
    "name": "brc_validate_transaction_date"
  }
}

Input Schema

NameRequiredDescriptionDefault
companyNameYesCompany context name, for example YOUR-COMPANY-NAME.
connectionRefNoOpaque Red connection reference returned by brc_confirm_company_connection. Pass this exact value on every later tool call when the MCP client rotates session ids (for example Vibe/Mistral). Keep reusing the same connectionRef after successful tool calls — do not start a new connection because a lookup returned empty or partial data. It is not an API key and does not contain credentials.
transactionDateYesDate to validate in YYYY-MM-DD format.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds the domain-specific behavior (validating against the financial year) but does not disclose the return format (e.g., boolean) or any edge-case behavior. Since annotations carry the main safety disclosure, this is acceptable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with zero fluff. It clearly states the core functionality without redundant phrasing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple validation tool with no output schema, the description captures the essential purpose. It implies the need for a connection via 'connected BRC company' but does not explain the return value or potential failure modes. Given the simplicity, it is mostly complete, just missing an explicit expectation of what the tool returns.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all three parameters are already documented with descriptions. The description itself does not elaborate on parameter usage; the baseline of 3 applies because the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear specific verb ('Checks') and resource ('proposed transaction date' against the financial year), making the purpose unambiguous. It does not explicitly differentiate from sibling validation tools like brc_check_transaction_settings, but it is specific enough to avoid confusion.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., having an active connection) or situations where a different validation tool would be more appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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