read_demo_result
Read a SAVED real-engine synthetic result; does not execute a new job. Preserve unknown values and limits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| example | No |
Read a SAVED real-engine synthetic result; does not execute a new job. Preserve unknown values and limits.
| Name | Required | Description | Default |
|---|---|---|---|
| example | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description still adds useful behavioral context above that baseline: the result is retrieved from saved state rather than by triggering a job, and it warns the agent to 'Preserve unknown values and limits', hinting that partial/unknown data must not be silently mutated or dropped.
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?
Two short clauses, front-loaded with the core action and the key constraint ('does not execute a new job'), with no padding. The trailing 'Preserve unknown values and limits' is terse to the point of ambiguity, but nothing is wasted.
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?
There is no output schema, so the description carries the burden of explaining what comes back; it only hints at unknown values/limits rather than describing the returned result shape or its constraints. Combined with the unexplained optional parameter, the definition is adequate but leaves real gaps for an agent deciding whether the returned data is usable.
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 description coverage is 0% and the description says nothing about the single 'example' parameter or how hours-known vs hours-unknown changes the response. The 'Preserve unknown values' sentence vaguely gestures at the unknown case but does not explain the parameter, so the description fails to compensate for the coverage gap even though the enum values are fairly self-descriptive.
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?
States a specific verb+resource ('Read a SAVED real-engine synthetic result') and immediately differentiates the operation from a job-launching sibling by asserting it 'does not execute a new job', which implicitly separates it from run_demo. The jargon 'real-engine synthetic result' is a bit opaque, but the read-vs-execute distinction is unambiguous.
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 clause 'does not execute a new job' functions as an explicit when-not, steering the agent toward run_demo when fresh execution is wanted. It stops short of naming run_demo or stating when this tool is the right choice (e.g., inspecting a previously produced result), so it is clear context without a fully explicit routing rule.
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.