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Fintech Intel

by io.github.pipeworx-io
OverviewAdmin

Fintech Market Snapshot

fintech_market_snapshot
Read-onlyIdempotent

Check current financial market conditions. Returns complaint trends, banking sector summary, fed funds rate, Treasury yields, yield curve, credit spreads, and VIX volatility.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
_fredKeyNoFRED API key (optional, for macro rates)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
analysisYesAnalysis type identifier
macro_ratesNoMacro economic rates and spreads or null if FRED key not provided
fdic_industryYesFDIC banking industry summary or null if unavailable
complaint_leadersYesTop companies by complaint volume or null if unavailable
complaint_by_productYesComplaint breakdown by financial product or null if unavailable

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedOutput schema / required
      Previous value: -[
-  "analysis",
-  "complaint_leaders",
-  "complaint_by_product",
-  "fdic_industry",
-  "macro_rates"
-]New value: +[
+  "analysis",
+  "complaint_leaders",
+  "complaint_by_product",
+  "fdic_industry"
+]
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "properties": {
+    "analysis": {
+      "description": "Analysis type identifier",
+      "type": "string"
+    },
+    "complaint_by_product": {
+      "description": "Complaint breakdown by financial product or null if unavailable",
+      "type": [
+        "object",
+        "null"
+      ]
+    },
+    "complaint_leaders": {
+      "description": "Top companies by complaint volume or null if unavailable",
+      "type": [
+        "object",
+        "null"
+      ]
+    },
+    "fdic_industry": {
+      "description": "FDIC banking industry summary or null if unavailable",
+      "type": [
+        "object",
+        "null"
+      ]
+    },
+    "macro_rates": {
+      "description": "Macro economic rates and spreads or null if FRED key not provided",
+      "properties": {
+        "fed_funds_rate": {
+          "description": "Federal funds rate data",
+          "type": [
+            "object",
+            "null"
+          ]
+        },
+        "high_yield_spread": {
+          "description": "High yield credit spread",
+          "type": [
+            "object",
+            "null"
+          ]
+        },
+        "treasury_10y": {
+          "description": "10-year Treasury yield",
+          "type": [
+            "object",
+            "null"
+          ]
+        },
+        "treasury_2y": {
+          "description": "2-year Treasury yield",
+          "type": [
+            "object",
+            "null"
+          ]
+        },
+        "vix": {
+          "description": "VIX volatility index",
+          "type": [
+            "object",
+            "null"
+          ]
+        },
+        "yield_curve_spread": {
+          "description": "10Y-2Y yield curve spread",
+          "type": [
+            "object",
+            "null"
+          ]
+        }
+      },
+      "type": [
+        "object",
+        "null"
+      ]
+    }
+  },
+  "required": [
+    "analysis",
+    "complaint_leaders",
+    "complaint_by_product",
+    "fdic_industry",
+    "macro_rates"
+  ],
+  "type": "object"
+}
  3. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
+  {
+    "_fredKey": "your-fintech-intel-api-key"
+  }
+]
  4. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds no extra behavioral context (e.g., data freshness, rate limits, or that it returns a snapshot rather than historical data). It does not contradict annotations.

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 a clear verb and an enumerated list of outputs. Every word contributes meaning, with no redundancy or filler.

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?

Given the simple, read-only nature of the tool, the presence of an output schema, and the optional parameter already documented in the schema, the description is largely complete. It lacks context like update frequency or data sources, but for a snapshot tool with good annotations and schema coverage, it is adequate.

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% for the single optional parameter (_fredKey), which is already described as 'FRED API key (optional, for macro rates)'. The description itself does not mention the parameter, but since the schema fully covers it, the baseline of 3 applies.

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 uses a specific verb ('Check') with a clear resource ('current financial market conditions') and enumerates exact outputs (complaint trends, banking sector summary, rates, yields, curve, spreads, VIX). This distinguishes it from sibling tools like fintech_bank_health_check, which focuses on bank-specific health, and fintech_company_deep_dive, which drills into individual companies.

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 gives no explicit guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. It simply states what it returns, leaving the agent to infer usage from the tool name and output list.

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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