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ydb-platform

YDB MCP

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by ydb-platform
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Python
Remote

ydb_explain_query_with_params

Explain the execution plan of a parameterized SQL query against YDB by providing the SQL and its parameters.

Instructions

Explain a parameterized SQL query against YDB

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYes
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

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

  1. Changed4 schema fields changedv0.1.4
    • addedInput schema / properties / params / anyOf
      Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "additionalProperties": true,
+    "type": "object"
+  }
+]
    • removedInput schema / properties / params / type
      Removed value: -"string"
    • changedInput schema / title
      Previous value: -"explain_query_with_paramsArguments"New value: +"ydb_explain_query_with_paramsArguments"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "$defs": {
+    "Annotations": {
+      "additionalProperties": true,
+      "properties": {
+        "audience": {
+          "anyOf": [
+            {
+              "items": {
+                "enum": [
+                  "user",
+                  "assistant"
+                ],
+                "type": "string"
+              },
+              "type": "array"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "title": "Audience"
+        },
+        "priority": {
+          "anyOf": [
+            {
+              "maximum": 1,
+              "minimum": 0,
+              "type": "number"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "title": "Priority"
+        }
+      },
+      "title": "Annotations",
+      "type": "object"
+    },
+    "TextContent": {
+      "additionalProperties": true,
+      "description": "Text content for a message.",
+      "properties": {
+        "_meta": {
+          "anyOf": [
+            {
+              "additionalProperties": true,
+              "type": "object"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null,
+          "title": "Meta"
+        },
+        "annotations": {
+          "anyOf": [
+            {
+              "$ref": "#/$defs/Annotations"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "default": null
+        },
+        "text": {
+          "title": "Text",
+          "type": "string"
+        },
+        "type": {
+          "const": "text",
+          "title": "Type",
+          "type": "string"
+        }
+      },
+      "required": [
+        "type",
+        "text"
+      ],
+      "title": "TextContent",
+      "type": "object"
+    }
+  },
+  "properties": {
+    "result": {
+      "items": {
+        "$ref": "#/$defs/TextContent"
+      },
+      "title": "Result",
+      "type": "array"
+    }
+  },
+  "required": [
+    "result"
+  ],
+  "title": "ydb_explain_query_with_paramsOutput",
+  "type": "object"
+}
  2. Addedv1.0.0

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It states 'Explain', implying a read-only operation, but does not disclose any behavioral traits such as side effects, permissions, rate limits, or output format beyond what is in the schema.

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

Conciseness3/5

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

The description is a single sentence with no extraneous words. However, it is too brief and could include more essential information without being verbose. It is concise but at the expense of completeness.

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

Completeness2/5

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

Given the absence of annotations and only 2 parameters, the description is insufficiently complete. It does not mention that both parameters are required, or provide context on how to supply parameters. An output schema exists but is not referenced.

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 has 0% description coverage. The description does not explain the format or meaning of the 'params' parameter, which accepts a string or object. This lack of semantic guidance increases ambiguity for the AI agent.

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?

Description uses verb 'Explain' and specifies resource 'parameterized SQL query against YDB', which clearly indicates the tool's action and target. However, it does not differentiate from sibling tool 'ydb_explain_query' which likely does the same without parameters.

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?

No guidance on when to use this tool vs ydb_explain_query or other siblings. The description implies it is for queries with parameters but does not explicitly state when it should be preferred.

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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