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document-mcp

by ExaDev
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TypeScript
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Query an .odb database

odb_query

Run a read-only SQL query against an embedded .odb database's tables in memory, using a supported SELECT grammar or a saved query name; unsupported constructs return explicit errors instead of being ignored.

Instructions

Runs a bounded single-table SELECT over an embedded .odb database's own extracted tables, given directly as SQL or by naming one of the database's saved queries. No database engine is involved -- the query runs in memory over the same tables odb_tables would return, against a closed grammar (SELECT/WHERE/GROUP BY/ORDER BY, no joins or subqueries); an unsupported construct is reported as a tool error naming it, never silently ignored.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlNoA literal SELECT statement to run. Mutually exclusive with "query".
queryNoThe name of one of the .odb's own saved queries to run. Mutually exclusive with "sql".
sourceYes.odb database to read. 'path' points at the .odb file on disk -- its extension is never used to infer a document format, since documents.js deliberately excludes 'odb' from DocumentFormat (an embedded database front end has no single natural target format -- tables, saved queries, and reports are three unrelated output shapes -- see that package's own README). 'bytesBase64' carries the .odb bytes inline; its 'format' field is required by the shared hybrid input shape but unused by every odb tool.

Schema Changelog

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

  1. Changed1 schema field changedv2.1.8
    • changedInput schema / properties / source / anyOf
      Previous value: -[
-  {
-    "properties": {
-      "path": {
-        "description": "Filesystem path to the document to read. The document format is inferred from the file extension.",
-        "type": "string"
-      }
-    },
-    "required": [
-      "path"
-    ],
-    "type": "object"
-  },
-  {
-    "properties": {
-      "bytesBase64": {
-        "description": "Base64-encoded document bytes.",
-        "type": "string"
-      },
-      "format": {
-        "description": "The document format of bytesBase64 -- required, since inline bytes carry no filename to infer it from.",
-        "enum": [
-          "docx",
-          "pptx",
-          "xlsx",
-          "odt",
-          "odp",
-          "ods",
-          "odg",
-          "odf",
-          "markdown",
-          "pdf"
-        ],
-        "type": "string"
-      }
-    },
-    "required": [
-      "bytesBase64",
-      "format"
-    ],
-    "type": "object"
-  }
-]New value: +[
+  {
+    "properties": {
+      "path": {
+        "description": "Filesystem path to the document to read. The document format is inferred from the file extension.",
+        "type": "string"
+      }
+    },
+    "required": [
+      "path"
+    ],
+    "type": "object"
+  },
+  {
+    "properties": {
+      "bytesBase64": {
+        "description": "Base64-encoded document bytes.",
+        "type": "string"
+      },
+      "format": {
+        "description": "The document format of bytesBase64 -- required, since inline bytes carry no filename to infer it from.",
+        "enum": [
+          "docx",
+          "pptx",
+          "xlsx",
+          "odt",
+          "odp",
+          "ods",
+          "odg",
+          "svg",
+          "odf",
+          "csv",
+          "markdown",
+          "pdf"
+        ],
+        "type": "string"
+      }
+    },
+    "required": [
+      "bytesBase64",
+      "format"
+    ],
+    "type": "object"
+  }
+]
  2. Addedv1.1.6

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It transparently discloses the bounded single-table nature, the in-memory execution over extracted tables, the closed grammar (no joins/subqueries), and that unsupported constructs are reported as tool errors, never silently ignored. This is rich behavioral disclosure, though it could add a note about side effects (none implied) or potential performance limits, but it is strong.

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 a single, well-structured sentence that front-loads the core action (runs a bounded single-table SELECT) and then adds key constraints (no engine, closed grammar, error behavior). Every clause earns its place; no filler or 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 moderate complexity (3 params, no output schema), the description covers the key aspects: what it does, limitations, error handling, and how it relates to other tools. The rich schema covers parameter details, and the description adds the missing semantics about the SQL grammar and error reporting. It is complete for an agent to select and invoke 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 description coverage is 100%, so the baseline is 3. The description adds some context about the sql and query parameters being mutually exclusive, but the schema already describes each parameter well. The source parameter is intricate, but the description adds a helpful note about the extension not being used to infer formatched, which adds value beyond the schema.

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?

The description clearly states the tool runs a bounded single-table SELECT over an embedded .odb database's own extracted tables, either via SQL or a saved query. It distinguishes from siblings by explicitly contrasting with odb_tables and noting the closed grammar, which differentiates it from other odb-related tools.

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?

The description explicitly states the tool runs a bounded single-table SELECT over an embedded .odb database's own extracted tables, either via SQL or a saved query. It distinguishes from siblings by explicitly contrasting with odb_tables and noting the closed grammar, which differentiates it from other odb-related tools.

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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