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MCPg - Production-grade PostgreSQL MCP Server

Verify connection encryption

verify_connection_encryption
Read-only

Check whether the PostgreSQL connection is TLS-encrypted, showing protocol, cipher, key strength, and a cluster-wide tally of encrypted vs unencrypted backends.

Instructions

Report whether MCPg's own connection to PostgreSQL is TLS-encrypted, including the negotiated protocol version, cipher, and key bits (from pg_stat_ssl). Also returns a cluster-wide tally of encrypted vs unencrypted backends (a lower bound under non-superuser privileges). Complements the startup TLS-enforcement check by confirming the live connection actually came up encrypted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNoOptional: target a configured secondary (read-only) database by name; omit for the primary. Call list_databases to see the configured ids.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
sslYes
bitsYes
cipherYes
versionYes
total_connectionsYes
encrypted_connectionsYes
unencrypted_connectionsYes
Behavior5/5

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

Annotations already indicate readOnlyHint=true. The description adds detail about querying pg_stat_ssl, returning specific encryption parameters, and notes a privilege-related caveat (lower bound under non-superuser). No contradictions.

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?

Two sentences, front-loaded with the main action and details. No redundant information; every phrase adds value.

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 presence of an output schema and annotations, the description covers the tool's behavior, return contents, and a limitation (non-superuser lower bound). It is complete for a specific diagnostic tool.

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 schema fully describes the optional 'database' parameter. The description does not elaborate on the parameter beyond what's in the schema, so baseline 3 is appropriate.

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 reports whether the connection is TLS-encrypted, including protocol version, cipher, key bits, and a cluster-wide tally. It uniquely identifies its function among siblings.

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

Usage Guidelines4/5

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

The description mentions it complements the startup TLS-enforcement check, implying a post-startup use case. It lacks explicit when-not-to-use or direct comparisons to siblings, but the purpose is specific enough to infer usage.

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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