Probative legal-marketing data

List the datasets

list_datasets

Read-onlyIdempotent

Every public dataset on this server: what it covers, its version, DOI, license (CC BY 4.0), credit line, last-checked date, the page to cite, its files and its tools.

Input Schema

Name	Required	Description	Default
`response_format`	No		concise

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedOct 28, 2026

removedInput schema / properties / detail

Removed value: -{
-  "default": "summary",
-  "enum": [
-    "summary",
-    "full"
-  ],
-  "type": "string"
-}

addedInput schema / properties / response_format

Added value: +{
+  "default": "concise",
+  "enum": [
+    "concise",
+    "detailed"
+  ],
+  "type": "string"
+}

Changed2 schema fields changedOct 28, 2026

removedInput schema / properties / detail / description

Removed value: -"summary (default): each record as its id, a 1-2 sentence text, status, date checked, one source URL and the page to cite. full: every field, every source and the per-record provenance."

removedOutput schema / properties

Removed value: -{
-  "meta": {
-    "description": "Credit line (attribution), citation, DOI, version, license (CC BY 4.0), disclaimer, notice and the page to cite",
-    "required": [
-      "attribution",
-      "license",
-      "disclaimer",
-      "notice"
-    ],
-    "type": "object"
-  },
-  "nextCursor": {
-    "description": "Pass as `cursor` to get the next page; null on the last page",
-    "type": [
-      "string",
-      "null"
-    ]
-  },
-  "provenance": {
-    "description": "Where this came from: the publisher of the dataset, the dataset and its version DOI, the record id, the original source (who published it and its URL), the day that source was last checked, and when this answer was retrieved",
-    "properties": {
-      "citeUrl": {
-        "description": "The page to cite",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "dataset": {
-        "description": "Dataset id",
-        "type": "string"
-      },
-      "datasetTitle": {
-        "type": "string"
-      },
-      "dateChecked": {
-        "description": "YYYY-MM-DD the record was last checked against its source",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "doi": {
-        "description": "Version DOI",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "doiUrl": {
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "line": {
-        "description": "The same facts as one sentence, to quote under an answer",
-        "type": "string"
-      },
-      "publisher": {
-        "description": "Publisher of the dataset",
-        "type": "string"
-      },
-      "recordId": {
-        "description": "Stable id of the record",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "retrievedAt": {
-        "description": "ISO 8601 time this answer was served",
-        "type": "string"
-      },
-      "source": {
-        "description": "The original source: statute, rule, bar opinion, court report, agency table or platform policy",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "sourceKind": {
-        "description": "primary or secondary",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "sourceUrl": {
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "status": {
-        "description": "P primary source, S secondary, D default (no specific rule found), U open question",
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "version": {
-        "description": "Dataset version",
-        "type": "string"
-      }
-    },
-    "required": [
-      "publisher",
-      "dataset",
-      "version",
-      "retrievedAt"
-    ],
-    "type": "object"
-  }
-}

Changed1 schema field changedOct 28, 2026

addedInput schema / properties / detail

Added value: +{
+  "default": "summary",
+  "description": "summary (default): each record as its id, a 1-2 sentence text, status, date checked, one source URL and the page to cite. full: every field, every source and the per-record provenance.",
+  "enum": [
+    "summary",
+    "full"
+  ],
+  "type": "string"
+}

Changed3 schema fields changedOct 27, 2026

addedOutput schema / properties / nextCursor

Added value: +{
+  "description": "Pass as `cursor` to get the next page; null on the last page",
+  "type": [
+    "string",
+    "null"
+  ]
+}

addedOutput schema / properties / provenance

Added value: +{
+  "description": "Where this came from: the publisher of the dataset, the dataset and its version DOI, the record id, the original source (who published it and its URL), the day that source was last checked, and when this answer was retrieved",
+  "properties": {
+    "citeUrl": {
+      "description": "The page to cite",
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "dataset": {
+      "description": "Dataset id",
+      "type": "string"
+    },
+    "datasetTitle": {
+      "type": "string"
+    },
+    "dateChecked": {
+      "description": "YYYY-MM-DD the record was last checked against its source",
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "doi": {
+      "description": "Version DOI",
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "doiUrl": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "line": {
+      "description": "The same facts as one sentence, to quote under an answer",
+      "type": "string"
+    },
+    "publisher": {
+      "description": "Publisher of the dataset",
+      "type": "string"
+    },
+    "recordId": {
+      "description": "Stable id of the record",
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "retrievedAt": {
+      "description": "ISO 8601 time this answer was served",
+      "type": "string"
+    },
+    "source": {
+      "description": "The original source: statute, rule, bar opinion, court report, agency table or platform policy",
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "sourceKind": {
+      "description": "primary or secondary",
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "sourceUrl": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "status": {
+      "description": "P primary source, S secondary, D default (no specific rule found), U open question",
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "version": {
+      "description": "Dataset version",
+      "type": "string"
+    }
+  },
+  "required": [
+    "publisher",
+    "dataset",
+    "version",
+    "retrievedAt"
+  ],
+  "type": "object"
+}

changedOutput schema / required

Previous value: -[
-  "meta"
-]New value: +[
+  "meta",
+  "provenance"
+]

First observedOct 26, 2026

TDQS

B3.2/5.0

Behavior3/5

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

Annotations already declare readOnly, idempotent, closed-world and non-destructive, so the safety profile is covered. The description adds the useful scope claim that the listing is exhaustive across all public datasets, but it says nothing about the concise-vs-detailed response behavior, which is the one trait an agent actually needs here.

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?

A single front-loaded sentence with no filler; the resource scope leads and the field inventory follows. It is dense but every clause is informative.

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?

An output schema exists, so spending the entire description enumerating return fields is partly redundant, while the genuinely ambiguous element — what response_format changes — goes unaddressed. The definition is adequate to call the tool but leaves the only parameter unexplained.

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

Parameters2/5

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

Schema description coverage is 0% for the single response_format parameter, so the description must compensate and does not — it never mentions that output can be trimmed to concise or expanded to detailed. The enum values are largely self-explanatory, but the description's framing ('what it covers, its version, DOI, license...') implies the full field set is always returned, which mildly misleads about the default.

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 names the resource precisely ('Every public dataset on this server') and enumerates the fields each entry carries (version, DOI, license, credit line, files, tools), so an agent can tell this is the catalog-listing tool rather than a data-retrieval tool. It does not explicitly contrast itself with siblings like data_search or data_lookup, which keeps it out of 5 territory.

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?

Usage is only implied: an agent can infer this is the discovery/enumeration entry point before drilling into data_search or data_lookup, but the description never states when to use this versus those siblings or any prerequisite. No exclusions or alternatives are given.

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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