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get_banking_application

Read the banking application

Reads what the application still needs. Returns ready (whether it can be submitted), applicationStatus, and the outstanding questions. The identity answers carry over from verification; what remains are non-identity questions such as employment status and source of funds, which an agent can answer itself.

Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
auth_tokenNoLaso credential. Only if the MCP connection has no Authorization header.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
      -  "type": "object"
      -}New value: +null
  2. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries full responsibility. It discloses the return content (ready, applicationStatus, outstanding questions) and adds context about the nature of those questions (non-identity, such as employment status and source of funds). However, it does not state explicitly that the operation is read-only or side-effect free, nor does it mention any auth prerequisites beyond the auth_token parameter, which is already in the schema.

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

Conciseness4/5

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

The description is reasonably concise but has minor redundancy. The opening line 'Read the banking application' is essentially a title and repeats the tool name. The additional explanation about identity answers and non-identity questions is useful but could be condensed. The trailing 'Free.' is ambiguous and likely unnecessary. Overall, it is well-structured but not maximally tight.

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 read tool with a single optional parameter and no output schema, the description adequately covers what the tool returns and the nature of the outstanding questions. It does not mention error scenarios or behavior when no application exists, but such details are not critical for basic invocation. The description is sufficient for an agent to understand the tool's purpose and expected output.

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?

There is only one parameter, auth_token, and the schema description covers it fully (100% coverage). The description does not add any extra semantic detail about the parameter beyond what the schema already provides, so it meets the baseline but adds no value.

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

Purpose5/5

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

The description clearly states the verb 'Read' and the resource 'banking application', and specifies the exact returned fields (ready, applicationStatus, outstanding questions). This distinguishes it from sibling tools like get_banking_profile_status or get_kyc_status, which focus on other aspects of the banking flow.

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

Usage Guidelines3/5

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

The description implies usage for checking application progress ('Reads what the application still needs') but does not explicitly mention when to use this tool over alternatives or list exclusions. There is no reference to sibling tools or conditions that would make another getter more appropriate, leaving the routing decision to the agent's inference.

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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