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Housing Intel

by io.github.pipeworx-io

Housing Employment Outlook

housing_employment_outlook
Read-onlyIdempotent

Assess labor market health for housing demand. Returns employment, construction jobs, residential building employment, unemployment rate, and job openings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
_blsKeyNoBLS registration key (optional — raises the shared quota; https://data.bls.gov/registrationEngine/)
_fredKeyNoFRED API key (accepted for consistency but not used — BLS is free)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_openingsNo
snapshot_dateNoToday's date in YYYY-MM-DD format
total_employmentNo
unemployment_rateNo
construction_employmentNo
residential_building_employmentNo

Schema Changelog

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

  1. Changed1 schema field changed
    • addedInput schema / properties / _blsKey
      Added value: +{
+  "description": "BLS registration key (optional — raises the shared quota; https://data.bls.gov/registrationEngine/)",
+  "type": "string"
+}
  2. Changed17 schema fields changed
    • removedOutput schema / properties / construction
      Removed value: -{
-  "properties": {
-    "current": {
-      "type": "number"
-    },
-    "error": {
-      "type": "string"
-    },
-    "recent_data": {
-      "items": {
-        "properties": {
-          "date": {
-            "type": "string"
-          },
-          "value": {
-            "type": "number"
-          }
-        },
-        "type": "object"
-      },
-      "type": "array"
-    },
-    "trend": {
-      "enum": [
-        "rising",
-        "falling",
-        "stable"
-      ],
-      "type": "string"
-    },
-    "unit": {
-      "enum": [
-        "thousands"
-      ],
-      "type": "string"
-    }
-  },
-  "type": "object"
-}
    • addedOutput schema / properties / construction_employment
      Added value: +{
+  "properties": {
+    "current": {
+      "description": "Construction employment in thousands",
+      "type": [
+        "number",
+        "null"
+      ]
+    },
+    "error": {
+      "type": "string"
+    },
+    "recent_trend": {
+      "items": {
+        "properties": {
+          "date": {
+            "type": "string"
+          },
+          "value": {
+            "type": "number"
+          }
+        },
+        "type": "object"
+      },
+      "type": "array"
+    }
+  },
+  "type": "object"
+}
    • removedOutput schema / properties / error
      Removed value: -{
-  "type": "string"
-}
    • addedOutput schema / properties / job_openings
      Added value: +{
+  "properties": {
+    "current": {
+      "description": "Total job openings (thousands)",
+      "type": [
+        "number",
+        "null"
+      ]
+    },
+    "error": {
+      "type": "string"
+    },
+    "recent_trend": {
+      "items": {
+        "properties": {
+          "date": {
+            "type": "string"
+          },
+          "value": {
+            "type": "number"
+          }
+        },
+        "type": "object"
+      },
+      "type": "array"
+    }
+  },
+  "type": "object"
+}
    • removedOutput schema / properties / jolts_hires
      Removed value: -{
-  "properties": {
-    "current": {
-      "type": "number"
-    },
-    "error": {
-      "type": "string"
-    },
-    "recent_data": {
-      "items": {
-        "properties": {
-          "date": {
-            "type": "string"
-          },
-          "value": {
-            "type": "number"
-          }
-        },
-        "type": "object"
-      },
-      "type": "array"
-    },
-    "trend": {
-      "enum": [
-        "rising",
-        "falling",
-        "stable"
-      ],
-      "type": "string"
-    },
-    "unit": {
-      "enum": [
-        "thousands"
-      ],
-      "type": "string"
-    }
-  },
-  "type": "object"
-}
    • removedOutput schema / properties / jolts_openings
      Removed value: -{
-  "properties": {
-    "current": {
-      "type": "number"
-    },
-    "error": {
-      "type": "string"
-    },
-    "recent_data": {
-      "items": {
-        "properties": {
-          "date": {
-            "type": "string"
-          },
-          "value": {
-            "type": "number"
-          }
-        },
-        "type": "object"
-      },
-      "type": "array"
-    },
-    "trend": {
-      "enum": [
-        "rising",
-        "falling",
-        "stable"
-      ],
-      "type": "string"
-    },
-    "unit": {
-      "enum": [
-        "thousands"
-      ],
-      "type": "string"
-    }
-  },
-  "type": "object"
-}
    • removedOutput schema / properties / residential_building
      Removed value: -{
-  "properties": {
-    "current": {
-      "type": "number"
-    },
-    "error": {
-      "type": "string"
-    },
-    "recent_data": {
-      "items": {
-        "properties": {
-          "date": {
-            "type": "string"
-          },
-          "value": {
-            "type": "number"
-          }
-        },
-        "type": "object"
-      },
-      "type": "array"
-    },
-    "trend": {
-      "enum": [
-        "rising",
-        "falling",
-        "stable"
-      ],
-      "type": "string"
-    },
-    "unit": {
-      "enum": [
-        "thousands"
-      ],
-      "type": "string"
-    }
-  },
-  "type": "object"
-}
    • addedOutput schema / properties / residential_building_employment
      Added value: +{
+  "properties": {
+    "current": {
+      "description": "Residential building employment in thousands",
+      "type": [
+        "number",
+        "null"
+      ]
+    },
+    "error": {
+      "type": "string"
+    },
+    "recent_trend": {
+      "items": {
+        "properties": {
+          "date": {
+            "type": "string"
+          },
+          "value": {
+            "type": "number"
+          }
+        },
+        "type": "object"
+      },
+      "type": "array"
+    }
+  },
+  "type": "object"
+}
    • addedOutput schema / properties / snapshot_date / description
      Added value: +"Today's date in YYYY-MM-DD format"
    • addedOutput schema / properties / total_employment
      Added value: +{
+  "properties": {
+    "current": {
+      "description": "Total employment in thousands",
+      "type": [
+        "number",
+        "null"
+      ]
+    },
+    "error": {
+      "type": "string"
+    },
+    "recent_trend": {
+      "items": {
+        "properties": {
+          "date": {
+            "type": "string"
+          },
+          "value": {
+            "type": "number"
+          }
+        },
+        "type": "object"
+      },
+      "type": "array"
+    }
+  },
+  "type": "object"
+}
    • removedOutput schema / properties / total_nonfarm
      Removed value: -{
-  "properties": {
-    "current": {
-      "type": "number"
-    },
-    "error": {
-      "type": "string"
-    },
-    "recent_data": {
-      "items": {
-        "properties": {
-          "date": {
-            "type": "string"
-          },
-          "value": {
-            "type": "number"
-          }
-        },
-        "type": "object"
-      },
-      "type": "array"
-    },
-    "trend": {
-      "enum": [
-        "rising",
-        "falling",
-        "stable"
-      ],
-      "type": "string"
-    },
-    "unit": {
-      "enum": [
-        "thousands"
-      ],
-      "type": "string"
-    }
-  },
-  "type": "object"
-}
    • addedOutput schema / properties / unemployment_rate / properties / current / description
      Added value: +"Unemployment rate (percent)"
    • changedOutput schema / properties / unemployment_rate / properties / current / type
      Previous value: -"number"New value: +[
+  "number",
+  "null"
+]
    • removedOutput schema / properties / unemployment_rate / properties / recent_data
      Removed value: -{
-  "items": {
-    "properties": {
-      "date": {
-        "type": "string"
-      },
-      "value": {
-        "type": "number"
-      }
-    },
-    "type": "object"
-  },
-  "type": "array"
-}
    • addedOutput schema / properties / unemployment_rate / properties / recent_trend
      Added value: +{
+  "items": {
+    "properties": {
+      "date": {
+        "type": "string"
+      },
+      "value": {
+        "type": "number"
+      }
+    },
+    "type": "object"
+  },
+  "type": "array"
+}
    • removedOutput schema / properties / unemployment_rate / properties / trend
      Removed value: -{
-  "enum": [
-    "rising",
-    "falling",
-    "stable"
-  ],
-  "type": "string"
-}
    • removedOutput schema / properties / unemployment_rate / properties / unit
      Removed value: -{
-  "enum": [
-    "percent"
-  ],
-  "type": "string"
-}
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "properties": {
+    "construction": {
+      "properties": {
+        "current": {
+          "type": "number"
+        },
+        "error": {
+          "type": "string"
+        },
+        "recent_data": {
+          "items": {
+            "properties": {
+              "date": {
+                "type": "string"
+              },
+              "value": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "trend": {
+          "enum": [
+            "rising",
+            "falling",
+            "stable"
+          ],
+          "type": "string"
+        },
+        "unit": {
+          "enum": [
+            "thousands"
+          ],
+          "type": "string"
+        }
+      },
+      "type": "object"
+    },
+    "error": {
+      "type": "string"
+    },
+    "jolts_hires": {
+      "properties": {
+        "current": {
+          "type": "number"
+        },
+        "error": {
+          "type": "string"
+        },
+        "recent_data": {
+          "items": {
+            "properties": {
+              "date": {
+                "type": "string"
+              },
+              "value": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "trend": {
+          "enum": [
+            "rising",
+            "falling",
+            "stable"
+          ],
+          "type": "string"
+        },
+        "unit": {
+          "enum": [
+            "thousands"
+          ],
+          "type": "string"
+        }
+      },
+      "type": "object"
+    },
+    "jolts_openings": {
+      "properties": {
+        "current": {
+          "type": "number"
+        },
+        "error": {
+          "type": "string"
+        },
+        "recent_data": {
+          "items": {
+            "properties": {
+              "date": {
+                "type": "string"
+              },
+              "value": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "trend": {
+          "enum": [
+            "rising",
+            "falling",
+            "stable"
+          ],
+          "type": "string"
+        },
+        "unit": {
+          "enum": [
+            "thousands"
+          ],
+          "type": "string"
+        }
+      },
+      "type": "object"
+    },
+    "residential_building": {
+      "properties": {
+        "current": {
+          "type": "number"
+        },
+        "error": {
+          "type": "string"
+        },
+        "recent_data": {
+          "items": {
+            "properties": {
+              "date": {
+                "type": "string"
+              },
+              "value": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "trend": {
+          "enum": [
+            "rising",
+            "falling",
+            "stable"
+          ],
+          "type": "string"
+        },
+        "unit": {
+          "enum": [
+            "thousands"
+          ],
+          "type": "string"
+        }
+      },
+      "type": "object"
+    },
+    "snapshot_date": {
+      "type": "string"
+    },
+    "total_nonfarm": {
+      "properties": {
+        "current": {
+          "type": "number"
+        },
+        "error": {
+          "type": "string"
+        },
+        "recent_data": {
+          "items": {
+            "properties": {
+              "date": {
+                "type": "string"
+              },
+              "value": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "trend": {
+          "enum": [
+            "rising",
+            "falling",
+            "stable"
+          ],
+          "type": "string"
+        },
+        "unit": {
+          "enum": [
+            "thousands"
+          ],
+          "type": "string"
+        }
+      },
+      "type": "object"
+    },
+    "unemployment_rate": {
+      "properties": {
+        "current": {
+          "type": "number"
+        },
+        "error": {
+          "type": "string"
+        },
+        "recent_data": {
+          "items": {
+            "properties": {
+              "date": {
+                "type": "string"
+              },
+              "value": {
+                "type": "number"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        },
+        "trend": {
+          "enum": [
+            "rising",
+            "falling",
+            "stable"
+          ],
+          "type": "string"
+        },
+        "unit": {
+          "enum": [
+            "percent"
+          ],
+          "type": "string"
+        }
+      },
+      "type": "object"
+    }
+  },
+  "type": "object"
+}
  4. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
+  {}
+]
  5. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare the tool as read-only, idempotent, and non-destructive. The description adds no further behavioral context such as rate limits, authentication requirements, or side effects, so it neither contradicts nor enriches beyond the 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 two sentences and each serves a purpose: the first states the function, the second lists outputs. It is front-loaded and free of redundancy.

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

Completeness5/5

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

Given the tool's simplicity, the read-only annotations, and an output schema (which signals return structure is already defined), the description covers the essential scope. It provides enough information about what the tool assesses and returns for an agent to invoke it 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?

The schema fully describes the two optional API key parameters with 100% coverage. The description does not mention parameters, but since schema carries the burden, the description adds no semantic value, resulting in the baseline score of 3.

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 uses a specific verb ('Assess') and identifies the resource as 'labor market health for housing demand,' then lists the returned data. This clearly states what the tool does, but it does not explicitly differentiate it from sibling housing tools, meriting a 4 rather than 5.

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 provides no guidance on when to use this tool instead of alternatives like housing_market_snapshot or housing_metro_demand. There are no prerequisites, exclusions, or context signals for selection, so the agent is left without usage direction.

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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TDQS

A3.6/5.0
Disambiguation2/5

Several tools intentionally overlap: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded share the same router, with the beta variant explicitly matching stable behavior right now. entity_profille/recent_changes/compare_entities and the multiple polymarket scanning tools also cover closely related jobs, so an agent must read carefully to avoid picking the wrong variant.

Naming Consistency3/5

All tools use lowercase snake_case, which is a consistent base style. However, the naming grammar is mixed: proper verb_noun tools like compare_entities and validate_claim sit beside noun-phrase/domain tools like housing_market_screen and polymarket_edges, plus the awkward compound case_shiller_metro_compare. The housing_ and polymarket_ prefixes help, but the pattern is not uniform enough for a 5.

Tool Count2/5

41 tools far exceeds the 25+ threshold and the typical well-scoped 3-15 range. Many tools pertyain to Polymarket, npm scanning, llms.txt generation, and memory, which have little to do with Housing Intel, so the count is not earned by the server's stated domain.

Completeness4/5

For the housing domain specifically, the coverage is strong: market snapshot, affordability, employment, mortgage history, rental/property analysis, metro demand, signal scanning, and Case-Shiller comparisons cover the main data needs. The generic ask_pipeworx and deep_research tools also backfill specialized queries. The weakness is scope blur, not obvious missing housing operations.

Resources