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corridor_bankability_screen

Screen corridor infrastructure projects for bankability using supplied capex, IFI debt, and minimum DSCR, rejecting missing financial data and flagging for mandatory human review.

Instructions

Illustrative corridor project finance screen using supplied financial figures and internal DSCR/leverage thresholds. Missing financial data is rejected. Mandatory human review; no lender approval or current hydrological verification. Optional paid output is a scenario Markdown memo and 15-year JSON schedule; no Excel/PDF artifact is generated.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dscr_minYesProjected minimum Debt Service Coverage Ratio (DSCR).
capex_usd_mYesTotal project capital expenditure in millions USD.
corridor_legYesCorridor transit leg under review.
project_nameYesName of the corridor infrastructure project (e.g. 'Aktau Port Container Hub Expansion').
ifi_debt_usd_mYesTarget IFI senior debt financing in millions USD.
evidence_sourcesNoList of feasibility study references, decrees, or project files.
currency_mismatchNoWhether tariff revenues are collected in local currency (KZT/AZN/GEL) while debt is in USD/EUR.
has_sovereign_guaranteeNoWhether an official sovereign loan guarantee is provided.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.13.0
    • changedInput schema / properties / dscr_min / minimum
      Previous value: -0.5New value: +0
    • changedInput schema / properties / ifi_debt_usd_m / minimum
      Previous value: -0.1New value: +0
  2. Addedv1.11.1

TDQS

A3.7/5.0
Behavior4/5

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

No annotations are provided, so the description must carry the behavioral burden. It does so well: it discloses that missing financial data is rejected, that human review is mandatory, that there is no lender approval or hydrological verification, and that output is a Markdown memo and JSON schedule with no Excel/PDF. It does not cover permissions or rate limits, but for this tool the limitations are clearly stated.

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 front-loaded with the core purpose and then tightly lists constraints and outputs. Each sentence conveys distinct information, though the final sentence is slightly dense. Overall efficient.

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 an 8-parameter financial screen with no annotations and no output schema, the description covers the tool's purpose, data prerequisites, human-review limitation, and output artifacts. It does not fully clarify the default (non-paid) return value or the exact screening logic, but it provides enough context to invoke the tool correctly.

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 the schema already documents all eight parameters. The description only alludes to 'supplied financial figures' and 'internal DSCR/leverage thresholds', adding no syntax or format details beyond the schema. Baseline 3 is appropriate.

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?

States a specific domain and action: an illustrative corridor project finance screen using supplied figures and internal thresholds. It is clear what the tool does, though it does not name any sibling tools to differentiate from, so it earns a 4.

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?

Provides some usage context ('illustrative', mandatory human review) and a prerequisite (missing data rejected). However, it does not state when to choose this over alternatives like middle_corridor_deal_risk or pre_action_check, so it remains implied rather than explicit.

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