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pabandi_finance_quote

Quote an offramp/payout from the platform rails (RAAST, Stripe, Solana). Returns estimated fees, execution window, and the rail to use. Feeds the hospitality payout flow. This MCP tool makes a real HTTP call to the canonical Pabandi endpoint and returns the actual platform response.

Input Schema

NameRequiredDescriptionDefault
amountUsdcYespayout amount in USDc

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the burden and does disclose that this is a real HTTP call against the canonical endpoint returning actual platform output rather than a mock. However it omits auth requirements, rate limits, quote validity/expiry, and whether quoting has any side effects — meaningful gaps for a payout-adjacent tool.

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?

Purpose, return values and flow context are front-loaded in the first two sentences. The final sentence about the 'real HTTP call to the canonical Pabandi endpoint' is somewhat boilerplate but does carry latency/fidelity signal.

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?

With no output schema, the description usefully lists returned fields (fees, execution window, rail), so an agent knows what comes back. It is still thin for a financial tool with no annotations: nothing on quote lifetime, failure modes, or permissions.

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

Parameters4/5

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

Schema coverage is 100% and the single parameter is documented, so baseline is 3. The description adds genuine meaning by stating the tool *returns* the rail to use, clarifying that rail selection is an output rather than an input an agent should search for in the schema.

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 verb and resource ('Quote an offramp/payout') and enumerates the rails involved (RAAST, Stripe, Solana), which clearly separates it from ledger/escrow siblings. It stops short of naming which sibling to use instead, so differentiation is implicit rather than stated.

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?

'Feeds the hospitality payout flow' gives a usage context, implying this is a pre-payout estimation step. There is no explicit when-to-use/when-not guidance and no mention of alternatives such as pabandi_start_escrow or pabandi_list_finance, which the agent must infer.

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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