X1 Product Context
get_x1_contextGet structured X1 product context, surfaces, and MCP guidance so Claude can reason about what X1 is and how it is meant to be used.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_x1_contextGet structured X1 product context, surfaces, and MCP guidance so Claude can reason about what X1 is and how it is meant to be used.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered. The description adds that the payload contains 'product context, surfaces, and MCP guidance', but does not clarify what 'surfaces' means, how large the response is, or whether it is static content versus live state.
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?
A single front-loaded sentence with the action first and the rationale second; nothing is wasted. It is slightly padded by the trailing 'how it is meant to be used' clause, which adds little beyond the preceding phrase.
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 parameterless, read-only context tool with no output schema, the description gives a rough sense of the payload but not its structure or when it beats the sibling guide tools. An agent can invoke it correctly but may not know it picked the right X1-related tool.
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 tool takes zero parameters, so per the rubric the baseline is 4. There is nothing for the description to disambiguate, and it correctly does not invent parameter behavior.
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 names a specific verb and resource ('Get structured X1 product context, surfaces, and MCP guidance') and scopes it to orientation about the X1 product, which is more concrete than the bare name. However, it never distinguishes itself from close siblings like get_x1_guide and get_x1_workflow_guide, so the agent cannot tell which of the three to call.
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?
There is no explicit when-to-use or when-not-to-use guidance, and no alternatives are named despite two obvious sibling candidates (get_x1_guide, get_x1_workflow_guide). The clause 'so Claude can reason about what X1 is' hints at intent but leaves routing entirely to inference.
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.