infer
Build a scatter plot specification from CSV data so agents can render and validate charts.
Instructions
Propose a scatter spec from a CSV.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | ||
| path | No |
Build a scatter plot specification from CSV data so agents can render and validate charts.
Propose a scatter spec from a CSV.
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | ||
| path | No |
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden, yet it discloses nothing about behavior: whether it is read-only, whether it mutates state, what it returns, or whether it needs a file path versus inline data. 'Propose' hints at a non-destructive suggestion but is never made explicit.
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 no wasted words, which is structurally sound. However, it is under-specified rather than genuinely concise, so brevity here costs more than it saves.
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?
With no annotations, no output schema, and 0% parameter coverage, the description is the only information source and it is one sentence. It leaves the agent without enough to invoke the tool 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?
Schema description coverage is 0% for two parameters (data, path), so the description must compensate but does not. It only vaguely references a CSV input and never clarifies the distinction between supplying inline data versus a path, nor which is expected.
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 states a specific verb (propose) and resource (scatter spec) with the input source (CSV), so the agent can tell what it produces. It does not, however, differentiate itself from siblings like render or describe, leaving overlap ambiguous.
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 guidance on when to use this versus alternatives. With siblings such as render, describe, and validate, the agent has no signal about which tool to reach for in a given situation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.