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LiquiLens — the Failure Radar

NPA, SFB and cooperative-bank review

bank_asset_quality_review
Read-onlyIdempotent

Read a bank's sourced GNPA/NNPA history, percentage-point changes, distinct PCR definitions, capital scope and disclosed NPA stock reconciliation. SFB and UCB review questions are tailored to their funding and supervisory context. Free; no new score, credit approval or execution authority.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
as_ofNoOptional end-of-day evidence cutoff; YYYY-MM-DD, not in the future.
include_historyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true; the description reinforces this by starting with 'Read' and adds useful behavioral context: the review is free, produces no new score, and carries no credit approval or execution authority. It also clarifies the scope of data covered, going beyond the bare annotations.

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 and front-loaded with the core action and resource, followed by specific data elements and limitations. Every sentence adds meaningful information, though the second sentence is list-like and could be slightly tighter.

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

Completeness3/5

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

For a read-only review tool with no output schema, the description provides a solid overview of inputs and scope, plus important limitations. However, it does not describe the return shape or what an agent should expect from the output, and parameter semantics are incomplete, leaving some practical invocation details to inference.

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

Parameters2/5

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

Schema description coverage is only 33%, and the description does little to compensate. It never explains how to construct the required slug, what as_of cutoff implies beyond the schema already stating it, or what include_history=true actually changes in the output. The mention of 'history' hints at include_history but is not explicit, leaving parameter semantics under-specified.

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 clearly identifies the resource (a bank's GNPA/NNPA asset-quality history) and the specific action ('Read'), with concrete components such as percentage-point changes, PCR definitions, capital scope, and NPA stock reconciliation. It is not a tautology and conveys the tool's focus, though it does not explicitly differentiate it from the sibling bank_npa_reconciliation.

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 use when a bank's asset-quality history or SFB/UCB review context is needed, and notes that no credit approval or execution authority is granted. However, it does not explicitly state when to prefer this tool over alternatives such as bank_npa_reconciliation or institution_review_packet, so usage guidance is mostly implied rather than directly actionable.

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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