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FLOCORE Governed MCP

flocore_ontology_entities

Read the FLOCORE ontology: entity types, their semantic meaning, allowed relationships and lifecycle states.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries full responsibility for disclosing behavior. It clearly signals a read-only operation via 'Read' and summarizes exactly what information will be exposed. It does not mention response format, freshness, or access requirements, but these are less critical for a read-only ontology lookup.

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 that front-loads the verb and resource, then compactly lists the conceptual content. Every phrase adds value and there is no filler or redundancy.

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?

The description is appropriately complete for a parameterless reference tool: it tells the agent what the read returns (entity types, semantics, relationships, lifecycle states). A more explicit output format would be helpful but is not essential given the clear conceptual enumeration.

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 has zero parameters, so there is nothing for the description to document. The baseline of 4 applies because no parameter ambiguity exists.

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 states a specific verb ('Read'), a specific resource ('the FLOCORE ontology'), and enumerates the content included: entity types, semantic meaning, allowed relationships, and lifecycle states. This clearly distinguishes it from sibling tools that operate on tickets, tenants, queues, and boards.

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 makes the usage context clear: an agent should use this when it needs ontology information about entity types, meanings, relationships, or lifecycle states. It does not list exclusions or alternatives, but the tool's parameterless reference nature makes that omission low-impact.

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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TDQS

A3.8/5.0
Disambiguation4/5

Each tool has a clear primary purpose, from security inspection to ticket creation and read-only queries. Minor overlap exists between dashboard-style tools like orch_board, queue_summary, and mesh_lanes, but their distinct outputs prevent true confusion.

Naming Consistency4/5

Most tools follow the flocore_ prefix with snake_case and verb-noun pairings. The aegis_inspect tool breaks the prefix pattern, and there is slight inconsistency between list_* and direct noun names like flocore_mesh_lanes, but overall the naming is coherent.

Tool Count5/5

With 9 tools, the set is well-sized for a read-heavy governance and operations interface. It provides enough breadth without being unwieldy, and each tool has a reasonable scope.

Completeness3/5

The set covers inspection, listing, and ticket creation well, but lacks update/close/delete actions for tickets and no apparent workflow beyond creation. Read-only dashboards are comprehensive, yet the operational lifecycle feels incomplete.

Resources