onboard_entity
Full entity onboarding workflow across all oracles.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No |
Full entity onboarding workflow across all oracles.
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No |
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?
No annotations exist, so description must cover behavioral traits. It only mentions 'workflow' without disclosing whether it's read-only, destructive, what triggers, or success/failure conditions.
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?
One sentence is concise but sacrifices necessary detail. Front-loads purpose but omits essential context.
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 'full entity onboarding workflow', the description is severely incomplete with no output schema, no annotations, and no parameter details. The agent cannot determine prerequisites or results.
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?
Single parameter 'entity_id' has no description in schema (0% coverage), and description does not explain it. Agent is left to guess what ID format or source to use.
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?
Description states verb+resource: 'onboard entity' and scope 'across all oracles', giving a fairly clear purpose. However, it does not differentiate from siblings like 'run_workflow' or 'full_assessment', which could overlap.
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 guidance on when to use this tool vs. alternatives. With 16 sibling tools, explicit context is missing.
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.
Most tools have distinct purposes, but health_check, oracle_status, and readiness_dashboard overlap in providing health/status information, which could cause confusion for an agent. The descriptions help differentiate their scope (e.g., oracle_status for 16 DORA oracles, readiness_dashboard for 23 oracles + tool count).
All tool names use consistent snake_case, lowercase format, and follow a predictable verb_noun or noun_noun pattern (e.g., board_briefing, react_to_event, onboard_entity). No mixed conventions or irregular naming.
16 tools is appropriate for a DORA compliance and monitoring server covering onboarding, health checks, assessments, gap analysis, remediation, event reactions, and workflows. Each tool has a defined role, and the count is well-scoped for the domain.
The tool set covers core compliance workflows: onboarding, assessments, health status, gap analysis, remediation planning, event reaction, and syncing. Minor gaps exist, such as lacking a tool to manually update individual compliance items, but the workflow and sync tools compensate. Overall, the coverage is strong.