bus_status
Oracle Event Bus status: events, cross-refs, connected oracles.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No | Entity ID for cross-refs |
Oracle Event Bus status: events, cross-refs, connected oracles.
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No | Entity ID for cross-refs |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description hints at the scope (events, cross-refs, connected oracles) but does not disclose behavioral traits such as read-only nature, side effects, or how the entity_id parameter affects the result. With no annotations, the agent is left to infer safety and behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise and front-loaded, using a telegraphic style with no wasted words. It is appropriately sized for a simple tool, though slightly cryptic in its brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a low-complexity tool with one optional parameter and no output schema, the description still leaves out return values and usage context. It does not explain what 'status' returns or how to use entity_id, making it incomplete 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.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema provides a complete description for entity_id ('Entity ID for cross-refs'), so the parameter semantics are adequately covered. The tool description itself adds no additional meaning beyond what the schema already provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies the tool as a status reporter for Oracle Event Bus, specifically covering events, cross-refs, and connected oracles. This distinguishes it from other status tools by naming the specific resource, though it lacks an explicit verb like 'get' or 'list'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided. It does not indicate when to prefer this over sibling status tools such as bridge_status or cross_oracle_assess, nor any prerequisites or context for using the entity_id.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools overlap in purpose, particularly contract analysis (check_contract, contract_analyze, llm_clause_check) which could confuse agents. Assessment-related tools (readiness_check, assess_all, article_status) also have partially overlapping functionality. However, most tools have distinct resources and actions with detailed descriptions.
Tool names are consistently snake_case and mostly follow a verb_noun pattern (e.g., create_entity, generate_report, register_provider). Minor deviations like contract_analyze and llm_clause_check invert the verb-noun order, but the overall pattern is predictable.
50 tools is a very large surface for a single server, exceeding the threshold for 'too many' tools. While the DORA domain is broad, this breadth makes it challenging for agents to navigate and select the right tool efficiently.
The tool set covers the full DORA compliance lifecycle: entity onboarding, contract analysis, provider management, assessments, evidence, reporting, and incident workflows. Simulation and cross-regulation tools add depth. Minor missing CRUD operations (e.g., update/delete entity) but agents can work around.