test_deployment
Run 5-step test pipeline on a file before deployment: preflight, syntax, dependencies, ports, memory.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| filepath | Yes | Path to file to test before deployment |
Run 5-step test pipeline on a file before deployment: preflight, syntax, dependencies, ports, memory.
| Name | Required | Description | Default |
|---|---|---|---|
| filepath | Yes | Path to file to test before deployment |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds value by detailing the five test steps, giving the agent a transparent view of what the tool does internally.
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 a single, well-structured sentence that front-loads the action and lists all key steps. No redundant or irrelevant information is included. Every word contributes to understanding.
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?
Given a single parameter, no output schema, and annotations covering safety, the description sufficiently explains what the tool does by listing the test steps. It does not explain the output format or result interpretation, but for a test tool this is acceptable as the agent can infer a pass/fail indicator.
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?
Schema coverage is 100%; the description does not add new information about the parameter beyond mentioning 'file' implicitly. The schema itself already describes filepath as 'Path to file to test before deployment'. The description does not enhance parameter semantics further.
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 clearly states the tool's action ('Run 5-step test pipeline') and resource ('on a file before deployment'), and lists the specific steps (preflight, syntax, dependencies, ports, memory). This distinguishes it from more specific sibling tools like preflight_check or check_dependencies.
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?
The description explicitly says 'before deployment', providing clear context for when to use the tool. It implies a comprehensive test, so the agent can infer that partial checks (e.g., preflight only) might be done with sibling tools. No explicit exclusions are given, but the context is sufficient.
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 clearly distinct purposes, but there is some overlap among multiple audit/check tools (e.g., accountability_check, drift_audit, security_audit). However, descriptions and naming help differentiate their specific scopes, so ambiguity is low.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., check_archive_safety, propagate_family_member), making them predictable and easy to understand.
33 tools is on the high side, but the server covers a broad domain (system health, audits, propagation, session management, etc.). The count is justified by the comprehensive scope, though it may feel heavy for agents.
The tool set covers the entire lifecycle of system management: health monitoring, audits, propagation, sessions, compliance, and more. No obvious gaps for the stated purpose of a nervous system framework.