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engine_overview

Read-onlyIdempotent

Health and size of the whole system: FalkorDB memory/version, graphs (banks, cases), consortium size (accounts, banks, transfers) and the alert queue by status (open / case / cleared). Call this first to orient yourself. FalkorDB features: INFO memory, GRAPH.LIST, GRAPH.RO_QUERY aggregations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is fully covered without the description. The description adds the underlying implementation (FalkorDB INFO memory, GRAPH.LIST, RO_QUERY aggregations), which implies a cheap-ish aggregate read but says nothing about cost, result size, 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.

Conciseness4/5

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

Two compact sentences, front-loaded with the returned content and followed by the orienting instruction. The trailing implementation-detail sentence (INFO memory, GRAPH.LIST, RO_QUERY) is the least valuable part for an agent, but it is brief and does not bloat the definition.

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

Completeness4/5

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

For a zero-parameter, no-output-schema tool, the description carries the burden of describing the return payload, and it does so by enumerating every section returned. It is nearly complete for calling purposes; only the shape/volume of the response is left unstated.

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 (100% schema coverage), so the baseline is 4. There is no parameter syntax the description could clarify, and it correctly avoids inventing any input options.

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 a concrete resource and scope — system health/size — and enumerates exactly what is covered (FalkorDB memory/version, graphs, consortium counts, alert queue by status). Sibling differentiation is implicit rather than stated: an agent can infer this is the composite overview versus single-purpose siblings like list_graphs or list_alerts, but no alternative is named.

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?

"Call this first to orient yourself" gives a clear positive usage context: this is the entry-point call before drilling into specifics. It does not state when not to use it or name the siblings it supersedes, so it stops short of explicit routing.

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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