SupplyGraph.AI Data

Supplier Due Diligence Report Agent

due_diligence_report

Generates comprehensive supplier due diligence reports using global enterprise data, benchmarking ownership, legal, and financial risk for compliance and procurement decisions.

Pricing: {"unit": "credits", "options": [{"chapter_name": "Company Registration Information", "per_run": 1518}, {"chapter_name": "Branch Offices", "per_run": 1650}, {"chapter_name": "Corporate Brand Initiatives", "per_run": 2079}, {"chapter_name": "Administrative Sanctions", "per_run": 1485}, {"chapter_name": "Software Copyright Details", "per_run": 1551}, {"chapter_name": "Outbound Investments", "per_run": 1650}, {"chapter_name": "Financing Activities", "per_run": 1452}, {"chapter_name": "Competitor Analysis", "per_run": 1485}, {"chapter_name": "Subsidiary Companies", "per_run": 1848}, {"chapter_name": "Trademark Portfolio", "per_run": 4059}, {"chapter_name": "Patent Holdings", "per_run": 12045}, {"chapter_name": "Website Registrations", "per_run": 1419}, {"chapter_name": "Court Judgments", "per_run": 1584}, {"chapter_name": "Shareholder Structure", "per_run": 1386}, {"chapter_name": "Senior Management Team", "per_run": 1452}, {"chapter_name": "Administrative Permits", "per_run": 1749}, {"chapter_name": "Court Hearing Notices", "per_run": 3696}, {"chapter_name": "Court Notices", "per_run": 3597}, {"chapter_name": "Equity Pledges", "per_run": 1419}, {"chapter_name": "Mobile Applications", "per_run": 1386}, {"chapter_name": "Copyrighted Works", "per_run": 1749}, {"chapter_name": "Equity Freezes", "per_run": 1419}, {"chapter_name": "Chattel Mortgages", "per_run": 1419}, {"chapter_name": "WeChat Official Accounts", "per_run": 1386}, {"chapter_name": "Tendering and Bidding Activities", "per_run": 2145}, {"chapter_name": "Qualification Certificates", "per_run": 2310}, {"chapter_name": "Engineering Irregularities", "per_run": 1419}, {"chapter_name": "Major Regulatory Violations", "per_run": 1452}, {"chapter_name": "Compensation and Benefits", "per_run": 1386}, {"chapter_name": "Enforcement Targets", "per_run": 1452}, {"chapter_name": "Supplier Network", "per_run": 1584}, {"chapter_name": "Credit Ratings", "per_run": 1419}, {"chapter_name": "Tax Offenses", "per_run": 1419}, {"chapter_name": "Regulatory Spot Checks", "per_run": 1485}, {"chapter_name": "Import-Export Credit Records", "per_run": 1386}, {"chapter_name": "Regulatory Actions", "per_run": 1617}, {"chapter_name": "Granted Government Subsidies", "per_run": 1551}, {"chapter_name": "Eligible Government Subsidies", "per_run": 1584}, {"chapter_name": "Consolidated Statements of Operations", "per_run": 1749}, {"chapter_name": "Income Statement", "per_run": 1947}, {"chapter_name": "Statement of Cash Flows", "per_run": 2442}, {"chapter_name": "Consolidated Balance Sheets", "per_run": 2145}, {"chapter_name": "ALL", "per_run": 26400}]}

Input Schema

TableJSON Schema

Name	Required	Description	Default
`pid`	Yes	Internal company ID for the target enterprise, obtained from the search_company_candidates MCP tool (e.g. a77828f060c866441f2403384b271e63 for Tesla, Inc.).
`chapter_name`	No	Report chapter to generate. Omit or use ALL for the full due diligence report.	ALL

Output Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

Schema Changelog

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

Changed2 schema fields changedAug 21, 2026

addedOutput schema / definitions

Added value: +{
+  "sub_section": {
+    "properties": {
+      "section_texts": {
+        "description": "Array of sub-section text paragraphs, formatted in Markdown for detailed and structured content including headings, bullet points, tables, and hyperlinks to ensure professional and informative due diligence subsections.",
+        "items": {
+          "type": "string"
+        },
+        "type": "array"
+      },
+      "section_title": {
+        "description": "Sub-section title.",
+        "type": "string"
+      },
+      "sub_sections": {
+        "description": "Nested array of sub-sections.",
+        "items": {
+          "$ref": "#/definitions/sub_section"
+        },
+        "type": "array"
+      }
+    },
+    "required": [
+      "section_title",
+      "sub_sections",
+      "section_texts"
+    ],
+    "type": "object"
+  }
+}

changedOutput schema / oneOf

Previous value: -[
-  {
-    "description": "Text or Markdown response generated by the agent. Returned when the task is not yet completed, failed, cancelled, or requires user input (e.g. validation prompts, error messages, or clarification requests).",
-    "properties": {
-      "text": {
-        "description": "Text or Markdown response generated by the agent. Returned when the task is not yet completed, failed, cancelled, or requires user input (e.g. validation prompts, error messages, or clarification requests).",
-        "type": "string"
-      }
-    },
-    "required": [
-      "text"
-    ],
-    "type": "object"
-  },
-  {
-    "definitions": {
-      "sub_section": {
-        "properties": {
-          "section_texts": {
-            "description": "Array of sub-section text paragraphs, formatted in Markdown for detailed and structured content including headings, bullet points, tables, and hyperlinks to ensure professional and informative due diligence subsections.",
-            "items": {
-              "type": "string"
-            },
-            "type": "array"
-          },
-          "section_title": {
-            "description": "Sub-section title.",
-            "type": "string"
-          },
-          "sub_sections": {
-            "description": "Nested array of sub-sections.",
-            "items": {
-              "$ref": "#/definitions/sub_section"
-            },
-            "type": "array"
-          }
-        },
-        "required": [
-          "section_title",
-          "sub_sections",
-          "section_texts"
-        ],
-        "type": "object"
-      }
-    },
-    "description": "Structured due diligence report output for enterprise analysis.",
-    "properties": {
-      "data": {
-        "properties": {
-          "chapter_infos": {
-            "description": "Array of chapter information in the due diligence report.",
-            "items": {
-              "properties": {
-                "en": {
-                  "properties": {
-                    "chapter_name": {
-                      "description": "Chapter name in English.",
-                      "type": "string"
-                    },
-                    "chapter_texts": {
-                      "description": "Array of chapter text paragraphs in English, formatted in Markdown for structured presentation including headings, lists, tables, and links to provide comprehensive and professional due diligence content.",
-                      "items": {
-                        "type": "string"
-                      },
-                      "type": "array"
-                    },
-                    "sub_sections": {
-                      "description": "Array of sub-sections in English.",
-                      "items": {
-                        "$ref": "#/definitions/sub_section"
-                      },
-                      "type": "array"
-                    }
-                  },
-                  "required": [
-                    "chapter_name",
-                    "sub_sections",
-                    "chapter_texts"
-                  ],
-                  "type": "object"
-                },
-                "zh": {
-                  "properties": {
-                    "chapter_name": {
-                      "description": "Chapter name in Chinese.",
-                      "type": "string"
-                    },
-                    "chapter_texts": {
-                      "description": "Array of chapter text paragraphs in Chinese, formatted in Markdown for structured presentation including headings, lists, tables, and links to provide comprehensive and professional due diligence content.",
-                      "items": {
-                        "type": "string"
-                      },
-                      "type": "array"
-                    },
-                    "sub_sections": {
-                      "description": "Array of sub-sections in Chinese.",
-                      "items": {
-                        "$ref": "#/definitions/sub_section"
-                      },
-                      "type": "array"
-                    }
-                  },
-                  "required": [
-                    "chapter_name",
-                    "sub_sections",
-                    "chapter_texts"
-                  ],
-                  "type": "object"
-                }
-              },
-              "required": [
-                "en"
-              ],
-              "type": "object"
-            },
-            "type": "array"
-          },
-          "languages": {
-            "description": "Array of language codes indicating the languages included in the response, where 'zk' represents Chinese and 'en' represents English.",
-            "items": {
-              "type": "string"
-            },
-            "type": "array"
-          },
-          "report_infos": {
-            "description": "Dictionary containing report metadata in English and Chinese.",
-            "properties": {
-              "en": {
-                "properties": {
-                  "report_date": {
-                    "description": "Report generation date in English.",
-                    "type": "string"
-                  },
-                  "report_name": {
-                    "description": "Full report name in English.",
-                    "type": "string"
-                  },
-                  "report_type": {
-                    "description": "Type of the report in English.",
-                    "type": "string"
-                  }
-                },
-                "required": [
-                  "report_date",
-                  "report_name",
-                  "report_type"
-                ],
-                "type": "object"
-              },
-              "zh": {
-                "properties": {
-                  "report_date": {
-                    "description": "Report generation date in Chinese.",
-                    "type": "string"
-                  },
-                  "report_name": {
-                    "description": "Full report name in Chinese.",
-                    "type": "string"
-                  },
-                  "report_type": {
-                    "description": "Type of the report in Chinese.",
-                    "type": "string"
-                  }
-                },
-                "required": [
-                  "report_date",
-                  "report_name",
-                  "report_type"
-                ],
-                "type": "object"
-              }
-            },
-            "required": [
-              "en"
-            ],
-            "type": "object"
-          }
-        },
-        "required": [
-          "languages",
-          "report_infos",
-          "chapter_infos"
-        ],
-        "type": "object"
-      },
-      "type": {
-        "description": "Indicates structured due diligence report output.",
-        "enum": [
-          "results"
-        ]
-      }
-    },
-    "required": [
-      "type",
-      "data"
-    ],
-    "type": "object"
-  }
-]New value: +[
+  {
+    "description": "Text or Markdown response generated by the agent. Returned when the task is not yet completed, failed, cancelled, or requires user input (e.g. validation prompts, error messages, or clarification requests).",
+    "properties": {
+      "text": {
+        "description": "Text or Markdown response generated by the agent. Returned when the task is not yet completed, failed, cancelled, or requires user input (e.g. validation prompts, error messages, or clarification requests).",
+        "type": "string"
+      }
+    },
+    "required": [
+      "text"
+    ],
+    "type": "object"
+  },
+  {
+    "description": "Structured due diligence report output for enterprise analysis.",
+    "properties": {
+      "data": {
+        "properties": {
+          "chapter_infos": {
+            "description": "Array of chapter information in the due diligence report.",
+            "items": {
+              "properties": {
+                "en": {
+                  "properties": {
+                    "chapter_name": {
+                      "description": "Chapter name in English.",
+                      "type": "string"
+                    },
+                    "chapter_texts": {
+                      "description": "Array of chapter text paragraphs in English, formatted in Markdown for structured presentation including headings, lists, tables, and links to provide comprehensive and professional due diligence content.",
+                      "items": {
+                        "type": "string"
+                      },
+                      "type": "array"
+                    },
+                    "sub_sections": {
+                      "description": "Array of sub-sections in English.",
+                      "items": {
+                        "$ref": "#/definitions/sub_section"
+                      },
+                      "type": "array"
+                    }
+                  },
+                  "required": [
+                    "chapter_name",
+                    "sub_sections",
+                    "chapter_texts"
+                  ],
+                  "type": "object"
+                },
+                "zh": {
+                  "properties": {
+                    "chapter_name": {
+                      "description": "Chapter name in Chinese.",
+                      "type": "string"
+                    },
+                    "chapter_texts": {
+                      "description": "Array of chapter text paragraphs in Chinese, formatted in Markdown for structured presentation including headings, lists, tables, and links to provide comprehensive and professional due diligence content.",
+                      "items": {
+                        "type": "string"
+                      },
+                      "type": "array"
+                    },
+                    "sub_sections": {
+                      "description": "Array of sub-sections in Chinese.",
+                      "items": {
+                        "$ref": "#/definitions/sub_section"
+                      },
+                      "type": "array"
+                    }
+                  },
+                  "required": [
+                    "chapter_name",
+                    "sub_sections",
+                    "chapter_texts"
+                  ],
+                  "type": "object"
+                }
+              },
+              "required": [
+                "en"
+              ],
+              "type": "object"
+            },
+            "type": "array"
+          },
+          "languages": {
+            "description": "Array of language codes indicating the languages included in the response, where 'zk' represents Chinese and 'en' represents English.",
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          "report_infos": {
+            "description": "Dictionary containing report metadata in English and Chinese.",
+            "properties": {
+              "en": {
+                "properties": {
+                  "report_date": {
+                    "description": "Report generation date in English.",
+                    "type": "string"
+                  },
+                  "report_name": {
+                    "description": "Full report name in English.",
+                    "type": "string"
+                  },
+                  "report_type": {
+                    "description": "Type of the report in English.",
+                    "type": "string"
+                  }
+                },
+                "required": [
+                  "report_date",
+                  "report_name",
+                  "report_type"
+                ],
+                "type": "object"
+              },
+              "zh": {
+                "properties": {
+                  "report_date": {
+                    "description": "Report generation date in Chinese.",
+                    "type": "string"
+                  },
+                  "report_name": {
+                    "description": "Full report name in Chinese.",
+                    "type": "string"
+                  },
+                  "report_type": {
+                    "description": "Type of the report in Chinese.",
+                    "type": "string"
+                  }
+                },
+                "required": [
+                  "report_date",
+                  "report_name",
+                  "report_type"
+                ],
+                "type": "object"
+              }
+            },
+            "required": [
+              "en"
+            ],
+            "type": "object"
+          }
+        },
+        "required": [
+          "languages",
+          "report_infos",
+          "chapter_infos"
+        ],
+        "type": "object"
+      },
+      "type": {
+        "description": "Indicates structured due diligence report output.",
+        "enum": [
+          "results"
+        ]
+      }
+    },
+    "required": [
+      "type",
+      "data"
+    ],
+    "type": "object"
+  }
+]

First observedAug 19, 2026

TDQS

B3.3/5.0

Behavior3/5

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

With only openWorldHint as an annotation, the description carries the burden of behavioral disclosure. It adds a detailed pricing model showing per-chapter credit costs, which is useful operational context. However, it never explicitly states that running this tool consumes credits, what happens with invalid pids, how chapters are executed, or whether this is a read-only operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening sentence is strong and front-loaded, but the description is dominated by a very large raw pricing JSON block that largely duplicates the chapter_name enum already present in the schema. This bloats the description and makes it harder to scan, though the pricing information itself is somewhat useful.

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?

The description plus schema and output schema cover the basics: what the tool does, the required pid, the chapter_name choices, defaults, and pricing. It is adequate as a minimum viable description but has notable gaps around usage guidance, alternatives, and explicit invocation/cost behavior, especially given the large sibling toolset.

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?

The input schema already covers both parameters at 100%, so the baseline is 3. The description goes beyond the schema by mapping each chapter_name option to a per-run credit cost, which materially helps an agent choose among the many chapter options. The pid parameter is also well explained in the schema, including an example.

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 first sentence clearly states the tool 'Generates comprehensive supplier due diligence reports using global enterprise data, benchmarking ownership, legal, and financial risk for compliance and procurement decisions.' This is a specific verb+resource description that distinguishes the tool as an aggregator report generator rather than a raw data lookup. However, it does not explicitly name or contrast sibling alternatives.

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?

The phrase 'for compliance and procurement decisions' gives a clear intended use context. But the description provides no when-not-to-use guidance, no explicit comparison to sibling tools like company_data_search or corporate_exception_report, and no indication when to choose chapters vs. ALL instead of individual data queries.

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

B3.2/5.0

Disambiguation4/5

Most tools have clearly distinct purposes, with consistent scopes (e.g., chain_* vs park_* vs company_* vs gov_data_*). The list/num pairs are clearly differentiated. A few overlapping concepts exist (e.g., company_patent vs enterprise_change_innovation) but descriptions clarify the angle. Some typos (company_randomin_spection) don't cause ambiguity.

Naming Consistency4/5

Naming follows a mostly predictable snake_case pattern with prefixes indicating domain (chain_, park_, company_, enterprise_change_, gov_data_, poi_data_, business_surrounding_, cbd_surrounding_). Most tools use <prefix>_<entity>_<action> or <prefix>_<subject>. A few outliers (sg_chokepoint, tariff_calc, corporate_exception_report) deviate but are few and recognizable.

Tool Count1/5

With 198 tools, this is far beyond any reasonable scope for a single server. It exceeds even the 'extreme mismatch' threshold of 50+ tools. The large number makes selection and discoverability challenging, despite good internal organization.

Completeness4/5

The tool surface covers a vast range of enterprise data, regional macro stats, POI details, supply chain analysis, and tariffs. It appears to cover the primary domain comprehensively, with only minor potential gaps (e.g., no direct tool for company debt ratings or specific product catalogs, but these are addressed via enterprise_change_* and company_* tools).

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