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JavaScript
Remote

Hiring Intent Score

get_company_hiring_intent
Read-only

Score a known company's hiring intent (0–100) from public job-board data, including open roles and recent postings, to prioritize accounts by hiring signals.

Instructions

Hiring-based buying-intent score (0-100) for a company domain from its public job board: hiring status, open roles, roles posted in the last 30 days, hiring by function and technologies hired for. $0.01 per result; no board or no open jobs is free. Use to prioritize a known company by hiring signals; use get_company_open_jobs for role listings or get_company_profile for combined research. The score is a heuristic, not confirmed purchase intent.

Input Schema

NameRequiredDescriptionDefault
domainYesPublic company domain without a URL scheme, path or port.
contextNoOptional. A few words on why you are calling this tool. Recorded without your identity to improve the tools; leave out personal data.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changedv1.0.0
    • addedInput schema / properties / context
      Added value: +{
+  "description": "Optional. A few words on why you are calling this tool. Recorded without your identity to improve the tools; leave out personal data.",
+  "type": "string"
+}
    • changedInput schema / properties / domain / examples
      Previous value: -[
-  "linear.app"
-]New value: +[
+  "ramp.com"
+]
    • addedOutput schema / anyOf
      Added value: +[
+  {
+    "properties": {
+      "ats_type": {
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "buying_signals": {
+        "properties": {
+          "cloud_infra": {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          "data_ai": {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          "databases": {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          "observability": {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          "sales_tools": {
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          }
+        },
+        "type": "object"
+      },
+      "checked_at": {
+        "format": "date-time",
+        "type": "string"
+      },
+      "confidence": {
+        "description": "high: the company website links to the board. unverified: only the board name matches the domain.",
+        "enum": [
+          "high",
+          "unverified",
+          null
+        ],
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "department_breakdown": {
+        "additionalProperties": {
+          "type": "integer"
+        },
+        "type": "object"
+      },
+      "domain": {
+        "type": "string"
+      },
+      "function_breakdown": {
+        "additionalProperties": {
+          "type": "integer"
+        },
+        "type": "object"
+      },
+      "hiring_status": {
+        "enum": [
+          "hypergrowth",
+          "active_hiring",
+          "steady"
+        ],
+        "type": "string"
+      },
+      "intent_score": {
+        "maximum": 100,
+        "minimum": 0,
+        "type": "integer"
+      },
+      "jobs_truncated": {
+        "type": "boolean"
+      },
+      "next_steps": {
+        "description": "Suggested follow-up calls on the same domain, with the exact body. Optional to use.",
+        "items": {
+          "properties": {
+            "body": {
+              "type": "object"
+            },
+            "mcp_tool": {
+              "type": "string"
+            },
+            "price_usd": {
+              "type": "number"
+            },
+            "tool": {
+              "type": "string"
+            },
+            "url": {
+              "type": "string"
+            },
+            "why": {
+              "type": "string"
+            }
+          },
+          "type": "object"
+        },
+        "type": "array"
+      },
+      "notable_open_roles": {
+        "items": {
+          "type": "object"
+        },
+        "maxItems": 10,
+        "type": "array"
+      },
+      "note": {
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "remote_roles": {
+        "type": "integer"
+      },
+      "roles_posted_last_30_days": {
+        "type": "integer"
+      },
+      "roles_with_known_post_date": {
+        "type": "integer"
+      },
+      "status": {
+        "description": "Only ok is charged.",
+        "enum": [
+          "ok",
+          "no_open_jobs",
+          "unreachable",
+          "not_found"
+        ],
+        "type": "string"
+      },
+      "top_demanded_technologies": {
+        "additionalProperties": {
+          "type": "integer"
+        },
+        "type": "object"
+      },
+      "top_locations": {
+        "additionalProperties": {
+          "type": "integer"
+        },
+        "type": "object"
+      },
+      "total_open_roles": {
+        "type": "integer"
+      }
+    },
+    "required": [
+      "domain",
+      "status",
+      "checked_at"
+    ],
+    "type": "object"
+  },
+  {
+    "additionalProperties": true,
+    "properties": {
+      "code": {
+        "minLength": 1,
+        "type": "string"
+      },
+      "status": {
+        "maximum": 599,
+        "minimum": 400,
+        "type": "integer"
+      }
+    },
+    "required": [
+      "status",
+      "code"
+    ],
+    "type": "object"
+  }
+]
    • removedOutput schema / properties
      Removed value: -{
-  "ats_type": {
-    "type": [
-      "string",
-      "null"
-    ]
-  },
-  "buying_signals": {
-    "properties": {
-      "cloud_infra": {
-        "items": {
-          "type": "string"
-        },
-        "type": "array"
-      },
-      "data_ai": {
-        "items": {
-          "type": "string"
-        },
-        "type": "array"
-      },
-      "databases": {
-        "items": {
-          "type": "string"
-        },
-        "type": "array"
-      },
-      "observability": {
-        "items": {
-          "type": "string"
-        },
-        "type": "array"
-      },
-      "sales_tools": {
-        "items": {
-          "type": "string"
-        },
-        "type": "array"
-      }
-    },
-    "type": "object"
-  },
-  "checked_at": {
-    "format": "date-time",
-    "type": "string"
-  },
-  "confidence": {
-    "description": "high: the company website links to the board. unverified: only the board name matches the domain.",
-    "enum": [
-      "high",
-      "unverified",
-      null
-    ],
-    "type": [
-      "string",
-      "null"
-    ]
-  },
-  "department_breakdown": {
-    "additionalProperties": {
-      "type": "integer"
-    },
-    "type": "object"
-  },
-  "domain": {
-    "type": "string"
-  },
-  "function_breakdown": {
-    "additionalProperties": {
-      "type": "integer"
-    },
-    "type": "object"
-  },
-  "hiring_status": {
-    "enum": [
-      "hypergrowth",
-      "active_hiring",
-      "steady"
-    ],
-    "type": "string"
-  },
-  "intent_score": {
-    "maximum": 100,
-    "minimum": 0,
-    "type": "integer"
-  },
-  "jobs_truncated": {
-    "type": "boolean"
-  },
-  "next_steps": {
-    "description": "Suggested follow-up calls on the same domain, with the exact body. Optional to use.",
-    "items": {
-      "properties": {
-        "body": {
-          "type": "object"
-        },
-        "mcp_tool": {
-          "type": "string"
-        },
-        "price_usd": {
-          "type": "number"
-        },
-        "tool": {
-          "type": "string"
-        },
-        "url": {
-          "type": "string"
-        },
-        "why": {
-          "type": "string"
-        }
-      },
-      "type": "object"
-    },
-    "type": "array"
-  },
-  "notable_open_roles": {
-    "items": {
-      "type": "object"
-    },
-    "maxItems": 10,
-    "type": "array"
-  },
-  "note": {
-    "type": [
-      "string",
-      "null"
-    ]
-  },
-  "remote_roles": {
-    "type": "integer"
-  },
-  "roles_posted_last_30_days": {
-    "type": "integer"
-  },
-  "roles_with_known_post_date": {
-    "type": "integer"
-  },
-  "status": {
-    "description": "Only ok is charged.",
-    "enum": [
-      "ok",
-      "no_open_jobs",
-      "unreachable",
-      "not_found"
-    ],
-    "type": "string"
-  },
-  "top_demanded_technologies": {
-    "additionalProperties": {
-      "type": "integer"
-    },
-    "type": "object"
-  },
-  "top_locations": {
-    "additionalProperties": {
-      "type": "integer"
-    },
-    "type": "object"
-  },
-  "total_open_roles": {
-    "type": "integer"
-  }
-}
    • removedOutput schema / required
      Removed value: -[
-  "domain",
-  "status",
-  "checked_at"
-]
  2. First observedv0.1.0

TDQS

A4.7/5.0
Behavior5/5

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

Annotations only cover readOnly/openWorld; the description adds the non-obvious commercial and epistemic facts: $0.01 per result, free when there is no board or no open jobs, and that the score is a heuristic rather than confirmed purchase intent. Cost and reliability caveats are exactly the context structured fields cannot convey.

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?

Three short sentences, each load-bearing: what it returns, what it costs, when to use it and what to use instead. The core value proposition is front-loaded in the first clause.

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?

Output schema exists so return values needn't be explained, yet the description still names the score components, the data source, and the cost model. For a 2-parameter read-only lookup this is everything an agent needs to call 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?

Schema coverage is 100% and the domain parameter is fully documented in the schema (format, maxLength, example); the description adds no further syntax or constraint detail. Baseline 3 applies since the schema carries the parameter burden.

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?

States a specific verb-like operation and resource: a hiring-based buying-intent score (0-100) for a company domain sourced from its public job board, with the result's components enumerated. It explicitly distinguishes itself from get_company_open_jobs and get_company_profile, so an agent can pick it without reading sibling schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives a positive use case ("prioritize a known company by hiring signals") plus explicit alternatives with the condition that selects each (role listings vs. combined research). Nothing is left to inference about when this tool is the right call.

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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