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Cassandra MCP

Cassandra MCP

by Sandeep-BA

list_tables

Read-onlyIdempotent

Lists only Cassandra tables authorized by the operator, so you can discover which tables are available for read-only inspection.

Instructions

List only tables explicitly authorized by the operator.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_tables"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered structurally. The description adds one genuinely useful behavioral fact — results are restricted to operator-authorized tables, so absence of a table is meaningful — but says nothing about result shape, ordering, or pagination.

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?

A single sentence with no filler, and the important constraint (authorized tables only) is front-loaded rather than buried. Every word earns its place.

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?

For a zero-parameter read tool with rich annotations, the description covers the main behavioral caveat but leaves the return contract undefined and no output schema exists to fill the gap — the agent cannot tell whether it receives names, full metadata, or a paginated envelope. No mention of empty-result or authorization-failure behavior.

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 tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-parameter schema is 4. The description adds no parameter-level detail because none is needed.

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?

States a specific verb and resource ("List ... tables") plus a meaningful scope qualifier ("explicitly authorized by the operator"). It does not explicitly contrast itself with siblings describe_table or read_partition, though the list/describe/read distinction is inferable from their names.

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 when-to-use, when-not-to-use, or alternative routing is given. An agent cannot tell from the description alone whether to call list_tables first or go straight to describe_table, or whether the authorization filter means it will silently omit tables the agent may be looking for.

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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